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Hybrid, Remote
Posted 2 months ago
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something – you’ll add something.
Description
We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will extend to the design and development of a comprehensive data selection, curation and annotation framework for multimodal foundation models at apple. We are looking for people passionate about innovating and applying ML algorithms that enable us to create high-quality and impactful datasets. As part of this role, you will explore and research solutions that allow us to optimize the recipes for training foundation models at scale for various capabilities. You will also work on setting up comprehensive evaluation pipelines that allow us to measure and benchmark progress of foundation models.
Minimum Qualifications
- BS and a minimum of 3 years relevant industry experience
- Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
- Deep understanding and expertise in multi-modal foundation models.
- Staying on top of emerging trends in generative AI and multi-modal LLM.
- Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
Preferred Qualifications
- Familiarity with end-to-end Machine Learning Lifecycle
- Demonstrated evidence of prior experience and expertise in data-centric machine learning research
- Strong problem-solving and communication skills.
- Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses – including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the res…View more
Senior Data Analyst
University of Connecticut
Hybrid
Posted 2 months ago
Title: Senior Data Analyst
Location: Hybrid
About the Role:
We are seeking a highly motivated and experienced Senior Data/Business Analyst to join our team. In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.
Responsibilities:
- Sales Channel Support: Conduct in-depth analyses and investigations to understand sales trends, identify opportunities, and address challenges. This includes drill-down analysis, ad-hoc reporting, and proactive exploration of data to uncover actionable insights.
- Data Integration & Leverage: Identify opportunities to integrate and leverage data more effectively across the organization. Develop strategies to enhance data quality and generate deeper insights into the drivers of sales performance.
- Collaboration with Data Science/Engineering: Work closely with data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
- Rhythm of Business Reporting: Develop and maintain continuous reporting processes that provide a clear and comprehensive view of business performance. Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
- Insights to Action: Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.
Qualifications:
- Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
- Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
- Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.
- Experience working with large datasets and cloud-based data platforms.
Preferred Qualifications in any of this:
-
- Direct to Consumer
- Business-to-Business
- Commercial Sales
- Familiarity with statistical modeling techniques.
- Experience with data storytelling and presentation skills.
Job Features
Job Category
Business Analyst, Data Analyst
Title: Senior Data Analyst Location: Hybrid About the Role: We are seeking a highly motivated and experienced Senior Data/Business Analyst to join our team. In this role, you will play a crucial pa…View more
Business Data Analyst
Shef Solutions INC
Salary- $60K/yr – $70K/yr
Columbus
Posted 2 months ago
Title: Business Data Analyst
Location: Hybrid
Top Skills:
Needing a 5+ years BA with background in consumer banking and marketing > If they have general banking, they’d still consider them
SQL is required.
SAS and Python are nice to have
Background in cloud technology is a nice to have
Someone familiar with Data Mapping and ability to fish through defects
Having test case management
Job Description:
Job Brief: Join the Enterprise Mart Delivery squad as IT Business Analyst within Enterprise Data and Information Services (EDIS)! Be part of a team that is focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions. The IT Business Analyst is a team member, leading efforts to provide business analysis and program/project support for the development, enhancement and quality assessment, and ongoing provision of various Lines of Business [LOB(s)]. This role influences a cross-functional team for improving the customer, client and employee experience by digitizing and streamlining services offered through end-to-end process optimization in support of strategic initiatives.
ESSENTIAL JOB FUNCTIONS
· Collaborates with stakeholders to gather requirements, create related documentation, and complete attribution mapping details for data elements from the source systems to the target Transaction Data Mart (TDM), prospects, householding, household aggregation, and various specialty marts within data supply chain (DSC).
- Identify and capture requirements for highly complex standards, processes, system and/or multiple systems across multiple stakeholders; understands and applies the Agile PLC/SDLC to the execution of deliverables.
- Develop and refine stories to translate business requirements into actionable technical requirements and stories which enable the development team.
- Be a Subject Matter Expert on the team’s business solutions and technical platform capabilities.
- Support the development and maintenance of product backlog to allow prioritization and planning to support business objectives and align to the roadmap.
- Support and/or participate in user acceptance testing as applicable to ensure quality in application releases and user experience.
- Actively contributes to the creation, facilitating, managing, and recommending training for all aspects of support the team provides.
- Advises on security, risk management, and IT process principles and escalate to appropriate team(s) as needed. Partners effectively with security and risk teams to ensure tech portfolio changes adhere to standards.
- Support and/or participate in user acceptance testing to ensure quality in application releases and user experience.
- Understands security, risk management, and IT process principles and escalate to appropriate team(s) as needed.
REQUIRED QUALIFICATIONS
- Education: Master’s Degree and 3+ years data analytics experience, Bachelor’s Degree and 6+ years data analytics experience, or equivalent military/work experience.
- Experience with Agile methodologies, particularly Scrum.
- Experience agile tools particularly Jira, Confluence.
- Experience with working in Information Technology and the banking sector.
- Excellent analytical, written, and oral communication, Strong presentation skills.
PREFERRED SKILLS / QUALIFICATIONS
- Ability to facilitate cross functional meetings to accomplish objectives or resolve issues.
- Ability to support multiple projects, tasks, and responsibilities concurrently.
- Ability to meet deadlines and ensure others meet deadlines with minimal oversight.
Job Features
Job Category
Data Analyst, Data Science
Title: Business Data Analyst Location: Hybrid Top Skills: Needing a 5+ years BA with background in consumer banking and marketing > If they have general banking, they’d still consider them SQ…View more
Business Analyst
King's Dream Business Consulting, LLC.
Salary- $60K/yr – $70K/yr, Salary- $80K/yr – $100K/yr
Posted 2 months ago
Overview
King’s Dream Business Consulting is seeking a detail-oriented and analytical Business Analyst to join our team. As a Business Analyst, you will play a pivotal role in conducting research, analyzing data, and providing strategic insights to support decision-making processes within the organization. The ideal candidate will have a strong background in business analysis, excellent problem-solving skills, and the ability to translate data into actionable recommendations.
Duties
- Utilize SQL or similar tool to extract and manipulate data for reporting and analysis purposes.
- Create visually appealing dashboards and reports to facilitate decision-making.
- Conduct thorough market research and industry analysis to identify trends, opportunities, and challenges that may impact business operations
- Analyze and interpret complex data sets to generate meaningful insights and KPIs that drive informed decision-making across various departments
- Collaborate with cross-functional teams to gather business requirements, define project scopes, and develop solutions that align with organizational goals
- Create detailed reports, dashboards, and presentations to communicate findings, recommendations, and performance metrics to stakeholders
- Identify process improvements, efficiencies, and cost-saving initiatives through data analysis and business process mapping
- Assist in strategic planning, forecasting, budgeting, and performance tracking by providing data-driven insights and scenario modeling
Requirements
- Bachelor’s degree in Business Administration, Finance, Economics, or related field; Master’s degree or certification in Business Analysis is a plus
- Proven experience as a Business Analyst or similar role, with a strong track record of conducting quantitative and qualitative analysis in a business setting
- Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau, Power BI) to manipulate and visualize complex datasets
- Strong analytical skills, with the ability to interpret data, identify patterns, and draw actionable conclusions to drive business strategy
- Excellent communication skills, both written and verbal, to present findings to stakeholders and collaborate effectively with team members
- Detail-oriented approach with a focus on accuracy, problem-solving, and continuous improvement in data analysis processes
If you are passionate about leveraging data to drive business success and possess the required skills, we encourage you to apply for this exciting opportunity.
Job Types: Contract, Temporary
Pay: $35.00 – $40.00 per hour
Expected hours: 5 – 20 per week
Benefits:
- Flexible schedule
- Work from home
Compensation Package:
- 1099 contract
- Performance bonus
- Yearly bonus
Schedule:
- Choose your own hours
- Monday to Friday
- On call
Experience:
- Business analysis: 3 years (Required)
Work Location: Remote
Job Features
Job Category
Data Science
Overview King’s Dream Business Consulting is seeking a detail-oriented and analytical Business Analyst to join our team. As a Business Analyst, you will play a pivotal role in conducting researc…View more
Data Scientist
PayPal
Salary- $90K/yr – $120K/yr
Remote
Posted 2 months ago
The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary: As a member of the product analytics team, you will • Become a domain expert in your product area and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities • Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent, and holistic recommendations based on test results • Improve product experiences for 200+ million customers using data science techniques • Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis • Present findings and recommendations to senior-level/non-technical stakeholders
Job Description:
You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
You are familiar with data science and machine learning techniques to improve product experiences
You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
You are a fun-loving, adventurous team player
Role:
As a member of the product analytics team, you will
Become a domain expert in your product area and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities
Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent, and holistic recommendations based on test results
Improve product experiences for 200+ million customers using data science techniques
Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis
Present findings and recommendations to senior-level/non-technical stakeholders
Deliver actionable, data-driven insights to help understand customer behavior, launch and optimize new features, and prioritize the product roadmap Build automation
Identify key metrics, conduct rigorous explorative data analysis, create exec-facing dashboards, and build business cases that drive decision-making and business prioritization
Support multiple projects at the same time in a fast-paced, results-oriented environment
Requirements:
Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics, or Economics
2-4 years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
Hands-on experience in Python or any programming is preferred.
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is $72700 to $176000
For the majority of employees, PayPal’s balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
Job Features
Job Category
Data Analyst, Data Engineer, Data Science
The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pa…View more
Business Architect
Flatfile
Salary- $70K/yr – $90K/yr
Hybrid
Posted 2 months ago
Title: Business Architect
Location: Hybrid
Work with business and IT Leaders across the Company to capture and maintain relevant facts about the enterprise and synthesize that information into novel insights for decision-makers.
Recommend and implement new practices to continuously improve the Business Architecture capability.
Responsibilities
- Provide guidance and thought leadership for LeanIX so that users can accomplish Business Architecture and Enterprise Architecture needs
- Define meaningful Key Performance Indicators and metrics for capabilities, processes, and other Business Architecture aspects
- Develop business architecture strategy based on a situational awareness of various business scenarios and motivations
- Capture the relationships among roles, capabilities, business units and subunits both within and external to the organization
- Design and implement Business Architecture governance, policies, and procedures for the organization
- Integrate Business Architecture with other business and IT management organizations and processes
- Provide coaching, mentoring & transparent feedback as required
- May perform other job duties as directed by Employee’s Leaders
Knowledge, Skills and Abilities
- Skilled in partnering, negotiating, communication, and consulting across multiple projects and technology areas
- Ability to work effectively in a fast-paced, team-based, Customer-service-oriented environment
- Ability to think strategically and communicate strategic vision
- Ability to visualize data and present concepts and findings in formal settings
- Skilled in Enterprise Architecture Management tools: LeanIX, EAS, and Planview/Troux
- Skilled in Business Process Management tools: ARIS and Signavio
- Skilled in Data Prep & Visualization tools: Tableau, PowerBI, and Alteryx
- Preferred ability to define Dashboards that reflect the KPIs so users can achieve expectations
Job Features
Job Category
Business Analyst, Data Analyst
Title: Business Architect Location: Hybrid Work with business and IT Leaders across the Company to capture and maintain relevant facts about the enterprise and synthesize that information into novel i…View more
Healthcare Data Analyst
University of Connecticut
Salary- $190K/Yr – $220/Yr
United States
Posted 2 months ago
Additional Links:
- This position is Benefit eligible; click here for an overview of available benefits.
- This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
- This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
- UConn Health
PURPOSE OF CLASS:
At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports.
**Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa’s or candidates that cannot relocate to Connecticut at this time.
SUPERVISION RECEIVED:
Works under the general supervision of a higher grade.
EXAMPLES OF DUTIES:
Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;
Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;
Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;
Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;
Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;
Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;
Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;
Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;
Performs other related duties as required.
KNOWLEDGE, SKILLS AND ABILITIES:
Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;
Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;
Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications;
Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;
Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;
Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;
Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;
Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;
Proven ability to communicate complex data analytics using clear and concise methods and presentation media.
EXPERIENCE AND TRAINING:
GENERAL EXPERIENCE:
Six (6) years of experience in a healthcare data analytical role.
SUBSTITUTION ALLOWED:
Bachelor’s degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.
PREFERRED QUALIFICATIONS:
Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.
Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.
Experience with Epic electronic medical records platform.
Experience with data analytics related to value-based programs.
SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm.
Why UConn Health
UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.
Job Features
Job Category
Data Analyst
Additional Links: This position is Benefit eligible; click here for an overview of available benefits. This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to …View more
Remote
Posted 2 months ago
Title: Legal Operation Business Analyst
Location: Remote
About the job
- The candidate will be part of a cross-functional team, working closely with representatives from development, data and change management to ensure project deliverables are created / submitted based upon the agreed schedule and align with the project stakeholder expectations.
The Business Analyst must be prepared to:
- Develop and document business processes to illustrate current and future state.
- Gathering stakeholder feedback, categorizing and prioritizing information.
- Review and analyze user feedback to identify common themes, trends and recommend areas for improvement.
- Must be comfortable liaising between technical and business team members
Additional Requirements:
- Minimum 5 years of experience serving as a Business Analyst.
- Experience in Legal Operations a plus.
- Experience with business process modeling; mandatory.
- Familiarity using Apple based tools required (JIRA, Miro, Chorus, Quip, Keynote, Wrike); mandatory.
- Collaboration, communication, interpersonal, problem-solving, decision-making skills and attention to detail; mandatory
Skill Sets – Experience – Preference
- Communication Skills – 2-5 Years – Is Required
- Verbal Communication – 2-5 Years – Is Required
- Requirements Gathering – 2-5 Years – Is Required
- Process Design – 2-5 Years – Is Required
Job Features
Job Category
Business Analyst, Data Analyst, Data Engineer
Title: Legal Operation Business Analyst Location: Remote About the job The candidate will be part of a cross-functional team, working closely with representatives from development, data and change man…View more
Power BI Consultant
BRIDGE Healthcare Partners
Salary- $90K/yr – $120K/yr
Remote
Posted 2 months ago
Position Title: Power BI Consultant
Location: Remote
Who is BRIDGE?
BRIDGE Healthcare Partners is a not-for-profit organization founded in 2011. We are a mission based managed service organization for not-for-profit organizations in the healthcare, community wellness and childcare services arena. We provide a framework of services including:
- Information Technology (IT)
- Revenue Cycle Management (RCM)
- Electronic Health Records (EHR)
The most concise way to describe BRIDGE’s services is for you to imagine a physician’s office, community wellness, childcare center, or clinic. BRIDGE can perform the IT, billing, and electronic medical record functions of a group of physician’s offices, clinic, wellness organization or childcare center so they can focus on providing exceptional service. Although much of our client base is in the health care sector, we also have clients in higher education and community-based non-profits.
Position Summary
We are seeking a highly skilled and experienced Power BI Consultant to support our organization’s data-driven decision-making process. The ideal candidate will have a strong background in Power BI, including Power Query, DAX, and Power BI Service. You will be responsible for developing, designing, and implementing Power BI dashboards and reports, collaborating with stakeholders to understand their needs and providing insights that improve business processes.
In addition to the required technical expertise, the Power BI Consultant must have strong communication skills to collaborate and present findings in a clear and actionable manner. Excellent problem-solving skills, strong analytical skills and attention to detail are essential.
Key Responsibilities
- Design, develop, and maintain Power BI dashboards and reports.
- Perform data analysis and data modeling to create insightful reports.
- Interact with stakeholders to understand their business needs and goals.
- Provide training and support to business users in the effective use of Power BI dashboards.
- Extract, transform, and load (ETL) data from various sources into Power BI.
- Ensure data accuracy and consistent reporting by designing and creating data validation and error-checking methods.
- Integrate Power BI reports into other applications using embedded analytics or API automation.
- Optimize Power BI dashboards for usability, performance, and standardization.
- Maintain documentation for all functional and business requirements.
- Ensure compliance with data security and relevant regulations.
Qualifications and Skills
- A bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
- Proven experience in data analysis and business intelligence, specifically with Power BI.
- Proficiency in Power BI, including Power Query, DAX, and Power BI Service.
- Strong knowledge of SQL and data modeling.
- Familiarity with ETL (Extract, Transform, Load) processes.
- Familiarity with multiple data source types including flat file, SQL, REST API, etc.
- Experience with other BI tools (e.g., Tableau, Qlik) are a plus.
- Ability to work independently and on a team.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
- While performing the duties of this job, the employee may be regularly required to sit, talk, hear, and use hands and fingers to operate a computer, telephone, and keyboard.
- Specific vision abilities required by this job include close vision requirements due to computer work.
Equal Opportunity Employer
BRIDGE Healthcare Partners is proud to be an equal opportunity employer, and we are committed to maintaining a diverse and inclusive environment. All qualified applicants will receive considerations for employment without regard to race, color, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender identity, gender expression, age, status of protected veteran, status as an individual with a disability, religion, sexual orientation, national origin, genetic information, or any other protected characteristics as outlined by federal, state, or local laws.
Job Features
Job Category
Data Engineer, Data Science
Position Title: Power BI Consultant Location: Remote Who is BRIDGE? BRIDGE Healthcare Partners is a not-for-profit organization founded in 2011. We are a mission based managed service organization f…View more
Senior Data Scientist
Afresh Technologies
Posted 2 months ago
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we’ve helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you’ll join us!
Do you love digging into data and rigorously telling the story behind the numbers? Are you excited about experimentation and causal inference? Do you love translating thorny business questions into metrics and models? Do you want to answer questions that drive company strategy?
We are looking for a seasoned data scientist to join our team at Afresh to work on some of our most important revenue-growing projects. Working from our Data Science and Analytics team, you’ll partner with stakeholders on our Customer teams to measure and demonstrate our product’s impact and help drive improvements. As one of the first members of the team, you will be a key player in setting the direction of the team and creating a self-serve analytics culture across the company.
Your responsibilities will also include:
- Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
- Designing experiments to measure the impact of new features on those metrics;
- Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
- Partnering with our machine learning teams for investigations and feature engineering; and
- Becoming an expert in our data analytics pipelines and core metrics
Qualifications
We are looking for a Data Scientist with relevant and demonstrated industry experience working with cross-functional partners and driving work from idea to completion. Strong communication skills and experience collaborating with business and external stakeholders is a must.
You would also ideally have education and work experience similar to the following:
- Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
- 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
- Experience with experimental design, econometrics, and/or causal inference is a plus but not required
And these technical/software skills:
- Expert level skills at SQL (experience with dbt is a plus but not required)
- Expertise with Python, R, or a similar data science scripting language
- Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
- Experience with BI tools such as Looker, Tableau, Power BI, or similar
Are you passionate about making a difference and eager to bring your unique skills to our team? We encourage you to apply for this position even if you don’t meet every specific criterion listed. We believe that diverse experiences and perspectives can greatly enrich our work environment and drive our success. If you’re enthusiastic about the role and confident in your ability to contribute, we want to hear from you. Bring your strengths and vision to the table, and let’s explore how you can make an impact with us.
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About Afresh
Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we’re helping grocers provide fresher food to customers at more affordable prices.
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we’ve raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt’s Innovation Endeavors.
Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.
Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.
Job Features
Job Category
Data Science
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments i…View more
Salary- $250K/Yr – $300K/Yr
Hybrid
Posted 2 months ago
Machine Learning Engineer – AI Agent
What you can expect
Zoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to enhance communication and productivity solutions. We’re dedicated to advancing the frontier of AI-powered collaboration tools that can understand, reason, and act autonomously while maintaining security and trust.
About the Team
We’re seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You’ll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
Responsibilities
- Design and implement autonomous agent systems with task reasoning, planning, and execution capabilities.
- Develop prompt engineering frameworks for reliable agent behavior and coordination in multi-agent environments.
- Build and maintain LLM-powered services using models like GPT-4, Claude, and internal models.
- Develop efficient prompt management systems and evaluation frameworks for optimizing agent performance.
- Optimize model infrastructure for low latency, high throughput, and reliable context handling.
- Deploy agent systems on Kubernetes with monitoring, logging, and scalable microservices architectures.
- Implement vector storage and retrieval systems for semantic search and efficient memory management.
- Build robust testing frameworks for agent behavior validation and continuous improvement.
- Ensure proficiency in LLM APIs, agent frameworks, Python, ML frameworks, distributed systems, and semantic search.
What we’re looking for
- Advanced degree in Computer Science or related fields.
- 3+ years of experience in ML engineering
- Strong background in NLP and transformer architectures
- Experience with production ML systems
- Experience building autonomous agent systems
- Research experience in LLM alignment or safety
- Contributions to open-source LLM/agent projects
- Publications in NLP/ML conferences
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We’re building a strong team at Zoom, and we’re looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it’s a good fit for your career goals. We continuously review applications, so submit yours whenever you’re ready to take the next step.
Job Features
Job Category
AI Engineer, Data Science
Machine Learning Engineer – AI Agent What you can expect Zoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to e…View more
Salary- $90K/yr – $120K/yr
Remote
Posted 2 months ago
Description
We are a successful crypto hedge fund with a seven-year track record of delivering strong returns for our investors. As a systematic trading firm, our success depends on the expertise of our engineers and researchers who collaborate to develop and implement profitable trading strategies. We’re currently seeking a skilled Data Visualization Engineer to join our team and contribute to our ongoing growth by creating a cutting-edge application for visualizing high-frequency trading activity.
Our ideal candidate is adaptable, takes initiative with projects, and consistently delivers high-quality results. In our fast-paced environment, we value efficiency and innovation to maintain our competitive edge in the crypto market.
About You
You’re looking for a challenging role where your skills can make a significant impact. We offer a competitive base salary along with a quarterly cash profit share to reward performance.
Given the 24/7 nature of digital asset markets, we’re seeking someone committed to the demands of our industry. Our globally distributed team often engages in important discussions outside of traditional business hours. While you will not be on-call, you should be comfortable with a flexible schedule that may include evenings or weekends when necessary to meet the needs of our fast-paced trading environment.
You are excited about growing your skillset and working with the latest technologies, but pragmatic enough to choose the right tool for the job. Inefficiencies irritate you, and so you try to improve and streamline processes wherever you can. You justifiably believe that you are a cut above your peers in your understanding of complex GUI systems and high-performance application development.
- Design and implement a responsive, real-time dashboard for visualizing high-frequency trading data across multiple crypto exchanges
- Develop efficient data processing and rendering techniques to handle large volumes of trading data with minimal latency
- Design innovative visualizations to combine market data, trade logs, and trading performance data
- Implement a cross-platform (Windows, macOS, Linux) desktop application using Qt and C++
- Optimize GUI performance to handle real-time updates without compromising user experience
- Integrate and customize advanced charting libraries to create high-performance, interactive visualizations of trading data
Skills, Knowledge and Expertise
- Design and develop a high-performance, cross-platform desktop application for visualizing high-frequency trading activity
- Implement efficient data processing and rendering techniques to handle large volumes of real-time trading data
- Create an intuitive and responsive user interface for traders and analysts
- Optimize application performance to meet the demanding requirements of high-frequency trading visualization
- Collaborate with quantitative researchers and traders to refine requirements and improve the application
- Write clean, maintainable, and well-documented code
- Participate in code reviews and contribute to best practices
- Proven experience in GUI development roles
- Strong proficiency in C++ and GUI frameworks
- Experience with cross-platform desktop application development
- Extensive experience with graphing/charting/plotting libraries, particularly Qt or ImGui/ImPlot
- Demonstrated ability to customize and optimize graphing libraries for specific visualization needs
- Rapidly able to learn new technologies and tools that you have not worked with before
- Prior experience working in fast-paced environments, for example trading firms or startups
- Strong knowledge of data visualization techniques and libraries
- Familiarity with multithreading and concurrent programming
- Excellent problem-solving skills and ability to optimize application performance
- Strong written communication skills and ability to work effectively in a team environmen
- Proven capability to independently manage and deliver complex, end-to-end projects
- Detail-oriented with a focus on delivering high-quality, complete solutions
- Analytical thinker with strong abstract reasoning skills
- Independent-minded and risk-tolerant, with a competitive drive and critical approach to problem-solving
- Adaptable and open to feedback, with a continuous improvement mindset
- Exemplary work ethic, demonstrating commitment and reliability in all tasks
- Previous experience at a buy-side financial institution or similarly intense environment
- Interest in or knowledge of financial markets and trading concepts, particularly high-frequency trading
Benefits
- We offer a competitive base salary along with a quarterly cash profit share to reward performance.
- Innovation-Driven Culture: Be part of a team that embraces cutting-edge technology and continuous improvement.
- Career Growth: Opportunities for professional development and career advancement.
- Collaborative Environment: Work with talented professionals in a supportive and inclusive setting.
- Competitive Compensation: Attractive salary and benefits package.
About Kbit
Kbit is a leading cryptocurrency-focused investment manager with over $100 million in assets under management and a 7-year track record. We specialize in market-neutral, quantitative strategies that capture market structure inefficiencies including market making, arbitrage, derivative trading, and forecasting.
Our market-neutral approach and diverse sources of alpha have allowed us to navigate various market regimes. Since inception in 2017, we have transacted over $180 billion in the cryptocurrency markets. We have built and operate our own proprietary, distributed technology platform that connects with the major crypto exchanges, processes market data, streams orders, and processes trades 24/7/365. On a typical day, we place tens of millions of orders, execute hundreds of thousands of trades, and perform thousands of blockchain fund movements.
Our team of 14 professionals brings together expertise in quantitative trading, computer science, cryptocurrency market structure, finance, and operations. With strategic locations in the Caribbean, North America, Singapore, and a planned expansion to London in 2025, we are well-positioned to operate across global markets and time zones.
Job Features
Job Category
Data Engineer, Data Visualization
Description We are a successful crypto hedge fund with a seven-year track record of delivering strong returns for our investors. As a systematic trading firm, our success depends on the expertise of o…View more
Senior Data Analyst
Meta Reality Labs
Hybrid
Posted 2 months ago
Title: Senior Data Analyst
Location: Hybrid
About the Role (Meta-specific):
In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.
Responsibilities:
- Collaboration with Data Science/Engineering: Work closely with Meta Reality Labs’ data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
- Rhythm of Business Reporting: Develop and maintain continuous reporting processes that provide a clear and comprehensive view of Reality Labs’ business performance. Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
- Insights to Action: Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.
Qualifications:
- Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
- Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
- Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.
- Experience working with large datasets and cloud-based data platforms.
Preferred Qualifications in any of this:
- Experience in one or more of the following channels:
-
- Direct to Consumer
- Business-to-Business
- Commercial Sales
- Familiarity with statistical modeling techniques.
- Experience with data storytelling and presentation skills.
Job Features
Job Category
Data Analyst, Data Engineer
Title: Senior Data Analyst Location: Hybrid About the Role (Meta-specific): In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be…View more
Deep Learning Specialist
Snowflake
Salary- $80K/yr – $100K/yr
Hybrid
Posted 2 months ago
Build the future of the AI Data Cloud. Join the Snowflake team.
Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
IN THIS ROLE YOU WILL GET TO:
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
- Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
- Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
- 1+ years of practical Snowflake experience.
- Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
Job Features
Job Category
AI Engineer, Data Science
Build the future of the AI Data Cloud. Join the Snowflake team. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technic…View more
Data Visualization Specialist
Shef Solutions INC
Salary- $120K/yr – $150K/yr
Hybrid
Posted 2 months ago
Title: Data Analyst & Visualization Specialist
Location: Hybrid
About The Job
We are seeking a highly motivated and experienced Business Data Analyst that is skilled at performing data analysis and utilizing business intelligence tools and approaches to drive insights and business decisions for a product company’s sales organization, with a specific focus on direct-to-consumer (i.e. stores & e-commerce) sales.
Responsibilities
Conduct Direct-to-Consumer (DTC) Sales Analyses: Conduct in-depth, exploratory data analysis analyses and investigations to understand sales trends, identify opportunities, and address challenges in the company’s DTC channel. This includes drill-down analysis, ad-hoc reporting, and proactive exploration of data to uncover actionable insights, and presenting insights and recommendations to senior leaders.
Develop & Support Reporting & Insights. Develop and maintain reporting processes that provide a clear and comprehensive view of business performance in the DTC channel. Create and propose impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
Drive Insights to Action: Conduct ad hoc analyses to address specific business questions and challenges. Be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize their go-to-market approach.
Recommend Data & Insights Process Improvements: Propose adjustments to sales models and potential improvements to data sources, to optimize sales operational plans and identify areas for efficiency improvement and standards.
Job Features
Job Category
Data Analyst, Data Engineer
Title: Data Analyst & Visualization Specialist Location: Hybrid About The Job We are seeking a highly motivated and experienced Business Data Analyst that is skilled at performing data analysis an…View more
Hybrid, Remote
Posted 2 months ago
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something – you’ll add something.
Description
We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will extend to the design and development of a comprehensive data selection, curation and annotation framework for multimodal foundation models at apple. We are looking for people passionate about innovating and applying ML algorithms that enable us to create high-quality and impactful datasets. As part of this role, you will explore and research solutions that allow us to optimize the recipes for training foundation models at scale for various capabilities. You will also work on setting up comprehensive evaluation pipelines that allow us to measure and benchmark progress of foundation models.
Minimum Qualifications
- BS and a minimum of 3 years relevant industry experience
- Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
- Deep understanding and expertise in multi-modal foundation models.
- Staying on top of emerging trends in generative AI and multi-modal LLM.
- Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
- Familiarity with end-to-end Machine Learning Lifecycle
- Demonstrated evidence of prior experience and expertise in data-centric machine learning research
- Strong problem-solving and communication skills.
- Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the res…View more
Senior Data Analyst
University of Connecticut
Hybrid
Posted 2 months ago
Title: Senior Data Analyst
Location: Hybrid
About the Role:
We are seeking a highly motivated and experienced Senior Data/Business Analyst to join our team. In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.
Responsibilities:
- Sales Channel Support: Conduct in-depth analyses and investigations to understand sales trends, identify opportunities, and address challenges. This includes drill-down analysis, ad-hoc reporting, and proactive exploration of data to uncover actionable insights.
- Data Integration & Leverage: Identify opportunities to integrate and leverage data more effectively across the organization. Develop strategies to enhance data quality and generate deeper insights into the drivers of sales performance.
- Collaboration with Data Science/Engineering: Work closely with data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
- Rhythm of Business Reporting: Develop and maintain continuous reporting processes that provide a clear and comprehensive view of business performance. Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
- Insights to Action: Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.
Qualifications:
- Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
- Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
- Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.
- Experience working with large datasets and cloud-based data platforms.
Preferred Qualifications in any of this:
-
- Direct to Consumer
- Business-to-Business
- Commercial Sales
- Familiarity with statistical modeling techniques.
- Experience with data storytelling and presentation skills.
Job Features
Title: Senior Data Analyst Location: Hybrid About the Role: We are seeking a highly motivated and experienced Senior Data/Business Analyst to join our team. In this role, you will play a crucial pa…View more
Business Data Analyst
Shef Solutions INC
Salary- $60K/yr – $70K/yr
Columbus
Posted 2 months ago
Title: Business Data Analyst
Location: Hybrid
Top Skills:
Needing a 5+ years BA with background in consumer banking and marketing > If they have general banking, they’d still consider them
SQL is required.
SAS and Python are nice to have
Background in cloud technology is a nice to have
Someone familiar with Data Mapping and ability to fish through defects
Having test case management
Job Description:
Job Brief: Join the Enterprise Mart Delivery squad as IT Business Analyst within Enterprise Data and Information Services (EDIS)! Be part of a team that is focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions. The IT Business Analyst is a team member, leading efforts to provide business analysis and program/project support for the development, enhancement and quality assessment, and ongoing provision of various Lines of Business [LOB(s)]. This role influences a cross-functional team for improving the customer, client and employee experience by digitizing and streamlining services offered through end-to-end process optimization in support of strategic initiatives.
ESSENTIAL JOB FUNCTIONS
· Collaborates with stakeholders to gather requirements, create related documentation, and complete attribution mapping details for data elements from the source systems to the target Transaction Data Mart (TDM), prospects, householding, household aggregation, and various specialty marts within data supply chain (DSC).
- Identify and capture requirements for highly complex standards, processes, system and/or multiple systems across multiple stakeholders; understands and applies the Agile PLC/SDLC to the execution of deliverables.
- Develop and refine stories to translate business requirements into actionable technical requirements and stories which enable the development team.
- Be a Subject Matter Expert on the team’s business solutions and technical platform capabilities.
- Support the development and maintenance of product backlog to allow prioritization and planning to support business objectives and align to the roadmap.
- Support and/or participate in user acceptance testing as applicable to ensure quality in application releases and user experience.
- Actively contributes to the creation, facilitating, managing, and recommending training for all aspects of support the team provides.
- Advises on security, risk management, and IT process principles and escalate to appropriate team(s) as needed. Partners effectively with security and risk teams to ensure tech portfolio changes adhere to standards.
- Support and/or participate in user acceptance testing to ensure quality in application releases and user experience.
- Understands security, risk management, and IT process principles and escalate to appropriate team(s) as needed.
REQUIRED QUALIFICATIONS
- Education: Master’s Degree and 3+ years data analytics experience, Bachelor’s Degree and 6+ years data analytics experience, or equivalent military/work experience.
- Experience with Agile methodologies, particularly Scrum.
- Experience agile tools particularly Jira, Confluence.
- Experience with working in Information Technology and the banking sector.
- Excellent analytical, written, and oral communication, Strong presentation skills.
PREFERRED SKILLS / QUALIFICATIONS
- Ability to facilitate cross functional meetings to accomplish objectives or resolve issues.
- Ability to support multiple projects, tasks, and responsibilities concurrently.
- Ability to meet deadlines and ensure others meet deadlines with minimal oversight.
Job Features
Title: Business Data Analyst Location: Hybrid Top Skills: Needing a 5+ years BA with background in consumer banking and marketing > If they have general banking, they’d still consider them SQ…View more
Business Analyst
King's Dream Business Consulting, LLC.
Salary- $60K/yr – $70K/yr, Salary- $80K/yr – $100K/yr
Posted 2 months ago
Overview
King’s Dream Business Consulting is seeking a detail-oriented and analytical Business Analyst to join our team. As a Business Analyst, you will play a pivotal role in conducting research, analyzing data, and providing strategic insights to support decision-making processes within the organization. The ideal candidate will have a strong background in business analysis, excellent problem-solving skills, and the ability to translate data into actionable recommendations.
Duties
- Utilize SQL or similar tool to extract and manipulate data for reporting and analysis purposes.
- Create visually appealing dashboards and reports to facilitate decision-making.
- Conduct thorough market research and industry analysis to identify trends, opportunities, and challenges that may impact business operations
- Analyze and interpret complex data sets to generate meaningful insights and KPIs that drive informed decision-making across various departments
- Collaborate with cross-functional teams to gather business requirements, define project scopes, and develop solutions that align with organizational goals
- Create detailed reports, dashboards, and presentations to communicate findings, recommendations, and performance metrics to stakeholders
- Identify process improvements, efficiencies, and cost-saving initiatives through data analysis and business process mapping
- Assist in strategic planning, forecasting, budgeting, and performance tracking by providing data-driven insights and scenario modeling
- Bachelor’s degree in Business Administration, Finance, Economics, or related field; Master’s degree or certification in Business Analysis is a plus
- Proven experience as a Business Analyst or similar role, with a strong track record of conducting quantitative and qualitative analysis in a business setting
- Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau, Power BI) to manipulate and visualize complex datasets
- Strong analytical skills, with the ability to interpret data, identify patterns, and draw actionable conclusions to drive business strategy
- Excellent communication skills, both written and verbal, to present findings to stakeholders and collaborate effectively with team members
- Detail-oriented approach with a focus on accuracy, problem-solving, and continuous improvement in data analysis processes
- Flexible schedule
- Work from home
- 1099 contract
- Performance bonus
- Yearly bonus
- Choose your own hours
- Monday to Friday
- On call
- Business analysis: 3 years (Required)
Job Features
Overview King’s Dream Business Consulting is seeking a detail-oriented and analytical Business Analyst to join our team. As a Business Analyst, you will play a pivotal role in conducting researc…View more
Data Scientist
PayPal
Salary- $90K/yr – $120K/yr
Remote
Posted 2 months ago
The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary: As a member of the product analytics team, you will • Become a domain expert in your product area and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities • Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent, and holistic recommendations based on test results • Improve product experiences for 200+ million customers using data science techniques • Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis • Present findings and recommendations to senior-level/non-technical stakeholders
Job Description:
You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling
You are familiar with data science and machine learning techniques to improve product experiences
You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
You are a fun-loving, adventurous team player
Role:
As a member of the product analytics team, you will
Become a domain expert in your product area and conduct rigorous data analysis to help improve customer experiences and identify profitable growth opportunities
Work cross-functionally with product, engineering, design, and marketing teams to build world-class products and design hypothesis-driven experiments; make clear, coherent, and holistic recommendations based on test results
Improve product experiences for 200+ million customers using data science techniques
Leverage the Objective & Key Results (OKR) framework to identify product metrics and monitor product performance through dashboards and ad hoc analysis
Present findings and recommendations to senior-level/non-technical stakeholders
Deliver actionable, data-driven insights to help understand customer behavior, launch and optimize new features, and prioritize the product roadmap Build automation
Identify key metrics, conduct rigorous explorative data analysis, create exec-facing dashboards, and build business cases that drive decision-making and business prioritization
Support multiple projects at the same time in a fast-paced, results-oriented environment
Requirements:
Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics, or Economics
2-4 years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
Hands-on experience in Python or any programming is preferred.
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is $72700 to $176000
For the majority of employees, PayPal’s balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
Job Features
The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pa…View more
Business Architect
Flatfile
Salary- $70K/yr – $90K/yr
Hybrid
Posted 2 months ago
Title: Business Architect
Location: Hybrid
Work with business and IT Leaders across the Company to capture and maintain relevant facts about the enterprise and synthesize that information into novel insights for decision-makers.
Recommend and implement new practices to continuously improve the Business Architecture capability.
Responsibilities
- Provide guidance and thought leadership for LeanIX so that users can accomplish Business Architecture and Enterprise Architecture needs
- Define meaningful Key Performance Indicators and metrics for capabilities, processes, and other Business Architecture aspects
- Develop business architecture strategy based on a situational awareness of various business scenarios and motivations
- Capture the relationships among roles, capabilities, business units and subunits both within and external to the organization
- Design and implement Business Architecture governance, policies, and procedures for the organization
- Integrate Business Architecture with other business and IT management organizations and processes
- Provide coaching, mentoring & transparent feedback as required
- May perform other job duties as directed by Employee’s Leaders
Knowledge, Skills and Abilities
- Skilled in partnering, negotiating, communication, and consulting across multiple projects and technology areas
- Ability to work effectively in a fast-paced, team-based, Customer-service-oriented environment
- Ability to think strategically and communicate strategic vision
- Ability to visualize data and present concepts and findings in formal settings
- Skilled in Enterprise Architecture Management tools: LeanIX, EAS, and Planview/Troux
- Skilled in Business Process Management tools: ARIS and Signavio
- Skilled in Data Prep & Visualization tools: Tableau, PowerBI, and Alteryx
- Preferred ability to define Dashboards that reflect the KPIs so users can achieve expectations
Job Features
Title: Business Architect Location: Hybrid Work with business and IT Leaders across the Company to capture and maintain relevant facts about the enterprise and synthesize that information into novel i…View more
Healthcare Data Analyst
University of Connecticut
Salary- $190K/Yr – $220/Yr
United States
Posted 2 months ago
Additional Links:
- This position is Benefit eligible; click here for an overview of available benefits.
- This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
- This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
- UConn Health
Job Features
Additional Links: This position is Benefit eligible; click here for an overview of available benefits. This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to …View more
Remote
Posted 2 months ago
Title: Legal Operation Business Analyst
Location: Remote
About the job
- The candidate will be part of a cross-functional team, working closely with representatives from development, data and change management to ensure project deliverables are created / submitted based upon the agreed schedule and align with the project stakeholder expectations.
- Develop and document business processes to illustrate current and future state.
- Gathering stakeholder feedback, categorizing and prioritizing information.
- Review and analyze user feedback to identify common themes, trends and recommend areas for improvement.
- Must be comfortable liaising between technical and business team members
- Minimum 5 years of experience serving as a Business Analyst.
- Experience in Legal Operations a plus.
- Experience with business process modeling; mandatory.
- Familiarity using Apple based tools required (JIRA, Miro, Chorus, Quip, Keynote, Wrike); mandatory.
- Collaboration, communication, interpersonal, problem-solving, decision-making skills and attention to detail; mandatory
- Communication Skills – 2-5 Years – Is Required
- Verbal Communication – 2-5 Years – Is Required
- Requirements Gathering – 2-5 Years – Is Required
- Process Design – 2-5 Years – Is Required
Job Features
Title: Legal Operation Business Analyst Location: Remote About the job The candidate will be part of a cross-functional team, working closely with representatives from development, data and change man…View more
Power BI Consultant
BRIDGE Healthcare Partners
Salary- $90K/yr – $120K/yr
Remote
Posted 2 months ago
Position Title: Power BI Consultant
Location: Remote
Who is BRIDGE?
BRIDGE Healthcare Partners is a not-for-profit organization founded in 2011. We are a mission based managed service organization for not-for-profit organizations in the healthcare, community wellness and childcare services arena. We provide a framework of services including:
- Information Technology (IT)
- Revenue Cycle Management (RCM)
- Electronic Health Records (EHR)
- Design, develop, and maintain Power BI dashboards and reports.
- Perform data analysis and data modeling to create insightful reports.
- Interact with stakeholders to understand their business needs and goals.
- Provide training and support to business users in the effective use of Power BI dashboards.
- Extract, transform, and load (ETL) data from various sources into Power BI.
- Ensure data accuracy and consistent reporting by designing and creating data validation and error-checking methods.
- Integrate Power BI reports into other applications using embedded analytics or API automation.
- Optimize Power BI dashboards for usability, performance, and standardization.
- Maintain documentation for all functional and business requirements.
- Ensure compliance with data security and relevant regulations.
- A bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
- Proven experience in data analysis and business intelligence, specifically with Power BI.
- Proficiency in Power BI, including Power Query, DAX, and Power BI Service.
- Strong knowledge of SQL and data modeling.
- Familiarity with ETL (Extract, Transform, Load) processes.
- Familiarity with multiple data source types including flat file, SQL, REST API, etc.
- Experience with other BI tools (e.g., Tableau, Qlik) are a plus.
- Ability to work independently and on a team.
- While performing the duties of this job, the employee may be regularly required to sit, talk, hear, and use hands and fingers to operate a computer, telephone, and keyboard.
- Specific vision abilities required by this job include close vision requirements due to computer work.
Job Features
Position Title: Power BI Consultant Location: Remote Who is BRIDGE? BRIDGE Healthcare Partners is a not-for-profit organization founded in 2011. We are a mission based managed service organization f…View more
Senior Data Scientist
Afresh Technologies
Posted 2 months ago
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we’ve helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you’ll join us!
Do you love digging into data and rigorously telling the story behind the numbers? Are you excited about experimentation and causal inference? Do you love translating thorny business questions into metrics and models? Do you want to answer questions that drive company strategy?
We are looking for a seasoned data scientist to join our team at Afresh to work on some of our most important revenue-growing projects. Working from our Data Science and Analytics team, you’ll partner with stakeholders on our Customer teams to measure and demonstrate our product’s impact and help drive improvements. As one of the first members of the team, you will be a key player in setting the direction of the team and creating a self-serve analytics culture across the company.
Your responsibilities will also include:
- Partnering with product and business teams to develop effective success metrics (OKRs from product level to company level);
- Designing experiments to measure the impact of new features on those metrics;
- Partnering with engineering teams to develop product analytics and data monitoring/alerting systems;
- Partnering with our machine learning teams for investigations and feature engineering; and
- Becoming an expert in our data analytics pipelines and core metrics
- Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
- 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)
- Experience with experimental design, econometrics, and/or causal inference is a plus but not required
- Expert level skills at SQL (experience with dbt is a plus but not required)
- Expertise with Python, R, or a similar data science scripting language
- Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc.
- Experience with BI tools such as Looker, Tableau, Power BI, or similar
About Afresh
Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we’re helping grocers provide fresher food to customers at more affordable prices.
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we’ve raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt’s Innovation Endeavors.
Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.
Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.
Job Features
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments i…View more
Salary- $250K/Yr – $300K/Yr
Hybrid
Posted 2 months ago
Machine Learning Engineer – AI Agent
What you can expect
Zoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to enhance communication and productivity solutions. We’re dedicated to advancing the frontier of AI-powered collaboration tools that can understand, reason, and act autonomously while maintaining security and trust.
About the Team
We’re seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You’ll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
Responsibilities
- Design and implement autonomous agent systems with task reasoning, planning, and execution capabilities.
- Develop prompt engineering frameworks for reliable agent behavior and coordination in multi-agent environments.
- Build and maintain LLM-powered services using models like GPT-4, Claude, and internal models.
- Develop efficient prompt management systems and evaluation frameworks for optimizing agent performance.
- Optimize model infrastructure for low latency, high throughput, and reliable context handling.
- Deploy agent systems on Kubernetes with monitoring, logging, and scalable microservices architectures.
- Implement vector storage and retrieval systems for semantic search and efficient memory management.
- Build robust testing frameworks for agent behavior validation and continuous improvement.
- Ensure proficiency in LLM APIs, agent frameworks, Python, ML frameworks, distributed systems, and semantic search.
- Advanced degree in Computer Science or related fields.
- 3+ years of experience in ML engineering
- Strong background in NLP and transformer architectures
- Experience with production ML systems
- Experience building autonomous agent systems
- Research experience in LLM alignment or safety
- Contributions to open-source LLM/agent projects
- Publications in NLP/ML conferences
Job Features
Machine Learning Engineer – AI Agent What you can expect Zoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to e…View more
Salary- $90K/yr – $120K/yr
Remote
Posted 2 months ago
Description
We are a successful crypto hedge fund with a seven-year track record of delivering strong returns for our investors. As a systematic trading firm, our success depends on the expertise of our engineers and researchers who collaborate to develop and implement profitable trading strategies. We’re currently seeking a skilled Data Visualization Engineer to join our team and contribute to our ongoing growth by creating a cutting-edge application for visualizing high-frequency trading activity.
Our ideal candidate is adaptable, takes initiative with projects, and consistently delivers high-quality results. In our fast-paced environment, we value efficiency and innovation to maintain our competitive edge in the crypto market.
About You
You’re looking for a challenging role where your skills can make a significant impact. We offer a competitive base salary along with a quarterly cash profit share to reward performance.
Given the 24/7 nature of digital asset markets, we’re seeking someone committed to the demands of our industry. Our globally distributed team often engages in important discussions outside of traditional business hours. While you will not be on-call, you should be comfortable with a flexible schedule that may include evenings or weekends when necessary to meet the needs of our fast-paced trading environment.
You are excited about growing your skillset and working with the latest technologies, but pragmatic enough to choose the right tool for the job. Inefficiencies irritate you, and so you try to improve and streamline processes wherever you can. You justifiably believe that you are a cut above your peers in your understanding of complex GUI systems and high-performance application development.
- Design and implement a responsive, real-time dashboard for visualizing high-frequency trading data across multiple crypto exchanges
- Develop efficient data processing and rendering techniques to handle large volumes of trading data with minimal latency
- Design innovative visualizations to combine market data, trade logs, and trading performance data
- Implement a cross-platform (Windows, macOS, Linux) desktop application using Qt and C++
- Optimize GUI performance to handle real-time updates without compromising user experience
- Integrate and customize advanced charting libraries to create high-performance, interactive visualizations of trading data
Skills, Knowledge and Expertise
- Design and develop a high-performance, cross-platform desktop application for visualizing high-frequency trading activity
- Implement efficient data processing and rendering techniques to handle large volumes of real-time trading data
- Create an intuitive and responsive user interface for traders and analysts
- Optimize application performance to meet the demanding requirements of high-frequency trading visualization
- Collaborate with quantitative researchers and traders to refine requirements and improve the application
- Write clean, maintainable, and well-documented code
- Participate in code reviews and contribute to best practices
- Proven experience in GUI development roles
- Strong proficiency in C++ and GUI frameworks
- Experience with cross-platform desktop application development
- Extensive experience with graphing/charting/plotting libraries, particularly Qt or ImGui/ImPlot
- Demonstrated ability to customize and optimize graphing libraries for specific visualization needs
- Rapidly able to learn new technologies and tools that you have not worked with before
- Prior experience working in fast-paced environments, for example trading firms or startups
- Strong knowledge of data visualization techniques and libraries
- Familiarity with multithreading and concurrent programming
- Excellent problem-solving skills and ability to optimize application performance
- Strong written communication skills and ability to work effectively in a team environmen
- Proven capability to independently manage and deliver complex, end-to-end projects
- Detail-oriented with a focus on delivering high-quality, complete solutions
- Analytical thinker with strong abstract reasoning skills
- Independent-minded and risk-tolerant, with a competitive drive and critical approach to problem-solving
- Adaptable and open to feedback, with a continuous improvement mindset
- Exemplary work ethic, demonstrating commitment and reliability in all tasks
- Previous experience at a buy-side financial institution or similarly intense environment
- Interest in or knowledge of financial markets and trading concepts, particularly high-frequency trading
Benefits
- We offer a competitive base salary along with a quarterly cash profit share to reward performance.
- Innovation-Driven Culture: Be part of a team that embraces cutting-edge technology and continuous improvement.
- Career Growth: Opportunities for professional development and career advancement.
- Collaborative Environment: Work with talented professionals in a supportive and inclusive setting.
- Competitive Compensation: Attractive salary and benefits package.
About Kbit
Kbit is a leading cryptocurrency-focused investment manager with over $100 million in assets under management and a 7-year track record. We specialize in market-neutral, quantitative strategies that capture market structure inefficiencies including market making, arbitrage, derivative trading, and forecasting.
Our market-neutral approach and diverse sources of alpha have allowed us to navigate various market regimes. Since inception in 2017, we have transacted over $180 billion in the cryptocurrency markets. We have built and operate our own proprietary, distributed technology platform that connects with the major crypto exchanges, processes market data, streams orders, and processes trades 24/7/365. On a typical day, we place tens of millions of orders, execute hundreds of thousands of trades, and perform thousands of blockchain fund movements.
Our team of 14 professionals brings together expertise in quantitative trading, computer science, cryptocurrency market structure, finance, and operations. With strategic locations in the Caribbean, North America, Singapore, and a planned expansion to London in 2025, we are well-positioned to operate across global markets and time zones.
Job Features
Description We are a successful crypto hedge fund with a seven-year track record of delivering strong returns for our investors. As a systematic trading firm, our success depends on the expertise of o…View more
Senior Data Analyst
Meta Reality Labs
Hybrid
Posted 2 months ago
Title: Senior Data Analyst
Location: Hybrid
About the Role (Meta-specific):
In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize our go-to-market approach. The ideal candidate possesses a strong analytical mindset, excellent communication skills, and a passion for leveraging data to drive business growth within the retail and hard goods sector.Responsibilities:
- Collaboration with Data Science/Engineering: Work closely with Meta Reality Labs’ data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
- Rhythm of Business Reporting: Develop and maintain continuous reporting processes that provide a clear and comprehensive view of Reality Labs’ business performance. Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
- Insights to Action: Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.
Qualifications:
- Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
- Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
- Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.
- Experience working with large datasets and cloud-based data platforms.
Preferred Qualifications in any of this:
- Experience in one or more of the following channels:
-
- Direct to Consumer
- Business-to-Business
- Commercial Sales
- Familiarity with statistical modeling techniques.
- Experience with data storytelling and presentation skills.
Job Features
Title: Senior Data Analyst Location: Hybrid About the Role (Meta-specific): In this role, you will play a crucial part in driving data-driven decision-making within our sales organization. You will be…View more
Deep Learning Specialist
Snowflake
Salary- $80K/yr – $100K/yr
Hybrid
Posted 2 months ago
Build the future of the AI Data Cloud. Join the Snowflake team.
Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
IN THIS ROLE YOU WILL GET TO:
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
- Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
- Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
- 1+ years of practical Snowflake experience.
- Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Job Features
Build the future of the AI Data Cloud. Join the Snowflake team. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technic…View more
Data Visualization Specialist
Shef Solutions INC
Salary- $120K/yr – $150K/yr
Hybrid
Posted 2 months ago
Title: Data Analyst & Visualization Specialist
Location: Hybrid
About The Job
We are seeking a highly motivated and experienced Business Data Analyst that is skilled at performing data analysis and utilizing business intelligence tools and approaches to drive insights and business decisions for a product company’s sales organization, with a specific focus on direct-to-consumer (i.e. stores & e-commerce) sales.
Responsibilities
Conduct Direct-to-Consumer (DTC) Sales Analyses: Conduct in-depth, exploratory data analysis analyses and investigations to understand sales trends, identify opportunities, and address challenges in the company’s DTC channel. This includes drill-down analysis, ad-hoc reporting, and proactive exploration of data to uncover actionable insights, and presenting insights and recommendations to senior leaders.
Develop & Support Reporting & Insights. Develop and maintain reporting processes that provide a clear and comprehensive view of business performance in the DTC channel. Create and propose impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
Drive Insights to Action: Conduct ad hoc analyses to address specific business questions and challenges. Be a key partner to the channel lead, providing analytical support and insights that inform sales strategies and optimize their go-to-market approach.
Recommend Data & Insights Process Improvements: Propose adjustments to sales models and potential improvements to data sources, to optimize sales operational plans and identify areas for efficiency improvement and standards.
Job Features
Title: Data Analyst & Visualization Specialist Location: Hybrid About The Job We are seeking a highly motivated and experienced Business Data Analyst that is skilled at performing data analysis an…View more