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Salary- $90K/yr – $120K/yr
Remote
Posted 8 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

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Salary- $70K/yr – $90K/yr
Hybrid
Posted 8 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

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Posted 9 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. Salary band shown in CAD:   Salary band shown in USD:  
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

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Salary- $250K/Yr – $300K/Yr
Hybrid
Posted 9 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

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Hybrid
Posted 9 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

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Salary- $120K/yr – $150K/yr
Hybrid
Posted 9 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

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Salary- $105.8K/yr – $174.8K/yr
Hybrid
Posted 9 months ago
Title: Java Developer Location: Hybrid Interview: 1st round: Webex call, technical questions based on resume. 2nd round: Onsite with panel, 3-4 leads, technical IV as well  

About The Job: Back end Java developer (Spring Boot & Kafka required)

Java. Springboot,

 

Plus:

Containerization and Kafka

Hands on role, building/developing scalable applications, production troubleshooting, helping team solve problems,

Passionate about role, does more than what’s just told, helping problem solve on team

 

 Applications will be supporting:

  1. Customer Management System
  2. Data Cash Management
  3. Business Rules

Job Features

Job Category

Software Engineering

Title: Java Developer Location: Hybrid Interview: 1st round: Webex call, technical questions based on resume. 2nd round: Onsite with panel, 3-4 leads, technical IV as well   About The Job: Back e…View more

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Salary- $60K/yr – $70K/yr
Hybrid
Posted 10 months ago
Title: AKS Specialist Location: Hybrid
**Job Summary**:   We are seeking an experienced ** AKS Application Specialist** to manage the deployment, configuration, and ongoing support of applications running on **Azure Kubernetes Service (AKS)**. The specialist will focus on ensuring the application’s performance, security, and stability while collaborating with a separate team responsible for managing the AKS infrastructure.**Key Responsibilities**: – Monitor application performance, troubleshoot issues, and fine-tune resource allocation for optimal performance. – Ensure seamless integration between the application and other systems, such as databases, APIs, and cloud services. – Implement CI/CD pipelines for smooth, automated application deployment and updates. – Work with operations and development teams to ensure application security, including secrets management, certificate management, and role-based access control (RBAC). – Set up and manage application-level monitoring and logging tools, including alerts, to track application health and performance. – Respond to incidents, manage root cause analysis, and provide solutions for improving application resilience and stability. – Support disaster recovery and high availability strategies, ensuring that the application can scale and recover efficiently.**Qualifications**: – Familiarity with CI/CD pipeline tools such as Jenkins, Azure DevOps, or GitLab for automated application deployments. – Strong troubleshooting skills for diagnosing and resolving application-level issues in Kubernetes environments. – Understanding of security and compliance best practices in managing cloud applications, including RBAC and secrets management.**Preferred Skills**: – Knowledge of Kubernetes networking, services, and how applications interact with cloud-native systems. – Experience working in regulated industries, ensuring adherence to security and compliance requirements. – Familiarity with cloud-native monitoring, logging, and observability tools. **Education**: – Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent

Job Features

Job Category

Technology

Title: AKS Specialist Location: Hybrid **Job Summary**:   We are seeking an experienced ** AKS Application Specialist** to manage the deployment, configuration, and ongoing support of applications ru…View more

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Salary- $70K/yr – $90K/yr
New Hampshire
Posted 10 months ago
Join Pearson’s Higher Education Data and Reporting CoE as a Data Analyst and play a pivotal role in shaping our data journey and business analytics. In this role, you’ll proactively seek opportunities to leverage data in support of business analytics, identifying ways to connect data from various technology stacks such as Salesforce, In-Product, and Financial metrics. You’ll create intuitive datasets and data dictionaries for business users, streamline data flows, and collaborate with central technology teams to expedite the delivery of business intelligence solutions. Working closely with a reporting specialist, you’ll ensure data is structured to enable visually stunning and explanatory dashboards. Additionally, you’ll engage with central technology teams to implement new tools that enhance data accessibility and empower self-service data exploration. Ready to impact the future of learning? In an era where AI is advancing rapidly and the demand for new skills is skyrocketing, the world needs learning more than ever. At Pearson, we believe that “learning is no longer just a stage of life but a lifelong journey.” Analyst, Data Management The Data Management Analyst primarily contributes by conducting data analysis and building/maintaining datasets within the Higher Education business. In this role the analyst will gather requirements, analyze data, and prepare data for reports and dashboards. This team works to provide accurate and timely data to support decision-making and drive business growth. Responsibilities Contribute to Data-Related Efforts: Work efficiently and effectively to prioritize and deliver high-value data analysis and datasets. Data Analysis and Dataset Delivery: Engage with stakeholders to understand data analysis requirements and business value, conduct analysis to meet those needs, build and scale datasets to support reporting, and maintain datasets as necessary. Analyze Data & Datasets: Investigate existing datasets, identify opportunities and deficiencies, and research best practices and industry standards to ensure effective solutions and scalability. Maintain Standards: Ensure consistent high-quality standards for dataset creation and data analysis within the Data & Reporting COE Experience/Skills Needed:The ideal candidate should have 1+ years of experience in handling data, including data analysis and dataset creation. Knowledge of Python, SQL, GCP, Big Query, Snowflake & Tableau You must exhibit a curiosity for data, coupled with the ability to solve intricate problems. You will engage with business stakeholders and the technology teams to ensure a high value in delivered work. Strong communication and presentations skills as this position requires you to present to stakeholders including senior leadership. Plus would be if you have Education Industry knowledge. Understanding the unique challenges and dynamics of the education industry is advantageous. Examples include; knowledge of student enrollment, academic performance metrics, and compliance reporting What To Expect From Person Did you know Pearson is one of the 10 most innovative education companies of 2022? At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at We are Pearson. We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive. Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We strive for a workforce that reflects the diversity of our communities. To learn more about Pearson’s commitment to a diverse and inclusive workforce, navigate to: Diversity, Equity & Inclusion at Pearson. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com. Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment 

Job Features

Job Category

Data Science

Join Pearson’s Higher Education Data and Reporting CoE as a Data Analyst and play a pivotal role in shaping our data journey and business analytics. In this role, you’ll proactively seek opportuni…View more

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Salary- $90K/yr – $120K/yr
Remote
Posted 10 months ago
Why IQVIA This role will be dedicated to one of IQVIA’s largest clients through a Functional Service Provider (FSP) type partnership. This means you get all the benefits of working for an industry leading global CRO while operating within a sponsor environment and utilizing sponsor systems. These sponsor clients include world class pharmaceutical and biotech companies offering you a unique opportunity to work on a team where your role is both challenging and rewarding, while working alongside colleagues who are passionate about influencing the future of medicine and advancing therapies. With IQVIA’s FSP business unit, you become a core part of a dynamic team dedicated to reshaping the future of healthcare.   Additional Benefits:
  • Home-based remote work opportunities
  • Great work/life balance
  • Collaborate on projects and innovations with industry leaders in the Pharma and CRO sectors
  • Cohesive team environment fostering a collaborative approach to study work
  • Variety of therapeutic areas, indications and, study phases
  • Job stability; long-term engagements and development opportunities
  • Career advancement opportunities
  Responsibilities:
  • Develop, test, and validate clinical data programs and applications.
  • Ensure compliance with CDISC SDTM standards for clinical data.
  • Utilize visualization tools such as Spotfire or other similar tools to create insightful data visualizations.
  • Write and maintain Python scripts for data manipulation and analysis.
  • Collaborate with cross-functional teams to support clinical data needs.
  • Provide technical guidance and mentorship to junior programmers.
  • Participate in the development and implementation of data management plans.
  • Troubleshoot and resolve programming issues in a timely manner.
  Education and Experience:
  • Bachelor’s or master’s degree in computer science, Statistics, Data Science, or a related field
  • Minimum 5+ years’ hands-on experience in clinical trials or life sciences industry
  • 3+ years’ extensive experience in clinical data programming and Data Visualization using tools such as Python, Spotfire, or similar.
  • Python programming skill is Mandatory.
  • Experience with PySpark, Databricks is preferred.
  • Proficiency in CDISC SDTM standards.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork abilities.
  • Ability to work independently and manage multiple tasks simultaneously.
  IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com The potential base pay range for this role, when annualized, is $106,200.00 – $177,000.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Job Features

Job Category

Data Analyst, Data Visualization

Why IQVIA This role will be dedicated to one of IQVIA’s largest clients through a Functional Service Provider (FSP) type partnership. This means you get all the benefits of working for an industry l…View more

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Salary- $105.8K/yr – $174.8K/yr
Minnesota
Posted 10 months ago
Employer: General Mills, Inc. Job Title: Data Scientist (multiple positions) Duties Develop novel ways to help business partners achieve objectives through analysis and modelling.
  • Identify and test new sources of information that unlock new business value.
  • Curate and connect external data sets for broad enterprise-wide analytic usage.
  • Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results.
  • Utilize machine learning to create repeatable, dynamic, and scalable models.
  • Advocate and educate on the value and importance of data driven decision making and analytical methods.
  • Identify and develop long-term data science processes, frameworks, tools, and standards.
Partial telecommuting benefits available. Requirements Employer will accept a master’s degree in data science, Computer Science, Engineering, Math or Statistics or related field and one (1) year of experience in the job offered or in a related position in the Consumer Packaged Goods industry. Position requires one (1) year of experience in the following:
  • Statistical analysis, machine learning, modeling, hypothesis testing, clustering, and data mining techniques to identify trends and insights.
  • Python, R (Rshiny, dataframes, GGplot, Distributed Computing), Github and Tableau.
  • Incorporating multiple data sources in analyses (HDFS, file, database, JSON, HTML, etc).
  • Writing SQL queries.
  • Loading data into GCP, doing data transformations with BigQuery and building models using vertex AI.
  • Working with CPG data from sources like Nielsen and IRI.
  • Collaborating with cross-functional teams to integrate and implement data-driven solutions.
  • Merging and transforming disparate internal & external data sets together to create new features.

Job Features

Job Category

Data Science

Employer: General Mills, Inc. Job Title: Data Scientist (multiple positions) Duties Develop novel ways to help business partners achieve objectives through analysis and modelling. Identify and test ne…View more

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Salary- $90K/yr – $120K/yr
Hybrid
Posted 10 months ago

Your opportunity

At Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
Personalized Investing Engineering (PIE) develops and operates Schwab’s most innovative products with a primary goal of delighting our clients while empowering them to meet their financial objectives. PIE leads delivery of three products, each with a common focus on personalizing the investment experience to the needs of our customers. We invite you to learn more by visiting our product descriptions Thematic Investing, Intelligent Portfolios, and Financial Planning.
The Thematic Investing Client Experience team is looking for a talented technical hands-on Software Developer to build internal and external client-facing interactive web components. This position will be focused on contributing to a trading component team in development practices, operational standards, platform evolution and platform resiliency. This role will require a high level of responsibility and accountability, and yet has a support structure vital for development growth while continuing to build and grow our Thematic Investing platforms.
We are looking for a motivated mid-level software engineer with strong skills in JavaScript, Angular, Java, Spring Boot, and test automation. You will be responsible for building, maintaining, and refactoring core client services, with a focus on both feature development and testing. The ideal candidate will have experience in end-to-end testing and will play a key role in delivering high-quality software through robust test automation.

What you have

Required Qualifications
  • Bachelor’s degree in Computer Science or related field, or equivalent work experience.
  • 4+ years professional experience in software engineering
  • 3+ years of Java and JavaScript
  • 3+ years of test-driven development and quality automation.
Preferred Qualifications
  • Proficiency in JavaScript and Angular, with experience in developing reusable components and services.
  • Solid knowledge of Java and Spring Boot for backend development, with an understanding of API design and maintenance. Experience in end-to-end testing frameworks such as WebDriver and Selenium.
  • Familiarity with test automation practices and tools.
  • Experience in refactoring and maintaining legacy code to improve performance and reliability.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and a collaborative mindset.
  • Develop, maintain, and refactor core client services using JavaScript(Angular) for frontend and Java(Spring Boot) for backend.
  • Implement and optimize end-to-end testing solutions to ensure seamless functionality across systems.
  • Build and maintain test automation suites for both frontend and backend components.
  • Work with cross-functional teams to identify, refactor, and maintain legacy code to ensure scalability and performance.
  • Collaborate with team members to improve the maintainability and reliability of critical client services.
  • Troubleshoot and debug applications, addressing issues in both code and infrastructure.
  • Follow agile development practices and contribute to continuous process improvement.

What’s in it for you

At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future:
  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

Job Features

Job Category

Data Science, Software Engineering

Your opportunity At Schwab, you are empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the fin…View more

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Remote
Posted 10 months ago
Title: Staff Data Engineer II Location: Remote
What we are looking for:
  • Implement data engineering solutions that satisfy the full data lifecycle including efficient technical hygiene and the use of Azure DevOps for the implementation of the Banks Regulatory Reporting and Analytics strategy and roadmap.
  • Develop ETL and data pipeline capabilities considering how data is created, transformed, maintained, stored, archived, analyzed, and shared across the bank and our partners.
  • Lead the implementation of outcomes, recommendations, and designs from Data Governance and Enterprise Architecture.
  • Provide technical mentorship to team members and other data professionals.
  • As needed, perform data exploration and data profiling with tools such as Informatica Intelligent Data Management Cloud and/or SPSS.
What you need to have:
  • Bachelor’s degree in engineering or related field or equivalent experience in data management and/or data analytics.
  • 5+ years’ experience designing, implementing, and supporting cloud data solutions; Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps experience preferred.
  • Excellent communication skills both verbal and written.
  • Familiarity with data science and analytics tools such as SAS, Tableau, PowerBI.
  • Familiarity with multi-cloud data management and transformation platforms or tools such as Databricks, Snowflake, Matillion, etc.

Job Features

Job Category

Data Analyst, Data Engineer, Data Science

Title: Staff Data Engineer II Location: Remote What we are looking for: Implement data engineering solutions that satisfy the full data lifecycle including efficient technical hygiene and the use of A…View more

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Salary- $70K/yr – $90K/yr
New York
Posted 10 months ago
Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Fiverr, and Rocket Money—to grow their business through linear and streaming TV. We combine a sophisticated media buying platform with proprietary analytics to turn TV advertising into an automated, digital-like experience. Named one of the Hottest Ad Tech Companies by Business Insider, and Best Places to Work by Inc. Magazine for the third consecutive year, our team includes founders and leaders from Google, Microsoft, Stripe, Shazam and Facebook. We are growing rapidly as we accelerate our mission to automate the complex landscape of managing and measuring television advertising. We have a long-term goal to make marketing on TV available to businesses of any size. As a Data Quality Analyst, you will have the chance to improve the quality of our data and experience for Tatari clients. You will develop compelling and actionable insights through quantitative analysis, innovative thinking, and storytelling with data. This role collaborates closely within a team of highly experienced, analytically-inclined professionals, with the ultimate goal of helping Tatari redefine the TV ad buying experience. Responsibilities:  
  • Perform investigations that require a deep understanding of relationships among multiple data sources to identify systemic data quality issues and implement solutions
  • Build and perform tests on large datasets to determine data quality and integrity
  • Define and automate processes; document and maintain efficient procedures, adhering to best practices in data analysis and collection
  • Evaluate system performance and design, and monitor its effect on data quality
  • Collaborate closely with cross functional teams to analyze TV marketing campaigns. Build reports and data visualization to support client services and media buying teams
  • Provide ad-hoc data analysis, use complex data-intensive analysis to identify and forecast trends, conduct deep-dive quantitative analyses to optimize KPIs
  • Collaborate with engineers to improve data collection and storage processes
Qualifications:  
  • 1+ year of relevant work experience, but also open to new grads
  • Intermediate to advanced experience in Data Manipulation Software (e.g., SQL, Python, Pandas)
  • Steadfast focus on the details, while keeping strategic priorities top-of-mind
  • Radiate positivity and possess a “can-do” attitude
  • Strong presentation skills, with the ability to translate data into business insights
  • A quick learner, with the ability to work independently in a fast-paced environment; adaptability and a strong self-teaching ethic are highly valued
  • Strong strategic thinking capabilities and project management skills
  • Proven passion for the data quality discipline
  • Extremely meticulous in approach to work
  • Outstanding attention to detail
  • Bachelor’s in a technical field (e.g., Computer Science, Mathematics, Physics)
Nice to have:  
  • Advanced degree in a technical field
  • Experience with reporting tools (such as Tableau, Looker, etc.)
  • Ability to manipulate, analyze, and interpret large amounts of data and to organize findings and translate into actionable insights using original or innovative techniques
  • Industry experience a plus
Benefits:  
  • Competitive salary ($65,000 – $85,000 annually)
  • Equity compensation
  • 100% health insurance premium coverage for you and your dependents
  • Unlimited PTO and sick days
  • Snacks, drinks, and catered lunches at the office
  • Team building events
  • $1000 annual continued education benefit
  • $500 WFH reimbursement
  • $125 pre-tax monthly stipend to spend on whatever you want
  • Annual mental health awareness app reimbursement
  • FSA and commuter benefits
  • Monthly Company Wellness Day Off (During WFH)
  • Hybrid RTO, 2 flex days a week in 2024, likely to increase to 3 days after but no more than that. This is an in-office position
At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

Job Features

Job Category

Data Science

Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brands—like Calm, Fiverr, and Rocket Money—to grow their business through linear and streaming …View more

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United States
Posted 10 months ago

About the job

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Quality data is fundamental to Airbnb’s success. As a rapidly growing company, we are preparing for a future of tremendous growth and transformation. We are rebuilding our Data Engineering practice to enable the company’s success by building a solid data foundation. We are seeking stunning Data Engineers to help us define and realize our vision for trustworthy data across the company. This is a unique opportunity to join Data Engineering for a strong, but high-potential, company early in its lifecycle. Like all teams at Airbnb, we value and promote the diversity of our workforce, our guests, our hosts, our marketplace platform, and the world. Simply put, you belong at Airbnb. The Difference You Will Make: We need to ensure every area of the business has trustworthy data to fuel insight and innovation. Understanding the business need, securing the right data sources, designing usable data models, and building robust & dependable data pipelines are essential skills to meet this goal. At the same time, the technology used to create great data is continually evolving. We are moving to a reality where both batch & stream processing are leveraged to meet the latency requirements for the business. The Data Engineering paved path is still taking shape, and we want to collaboratively develop this to support the entire company. We need data engineers who are passionate not only about the data, but also about improving the technology we leverage for Data Engineering. We are looking for talented Data Engineers who are excited about redefining what it means to do Data Engineering. Data Engineering is part of our Engineering org as we believe great Data Engineering depends on solid Software Engineering fundamentals. However, we also recognize that each Data Engineer has a unique blend of skills. Whether your strength is in data modeling or in stream processing, we want to talk to you. A Typical Day:
  • Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Airbnb business growth and improve the product experience.
  • Build scalable Spark data pipelines leveraging Airflow scheduler/executor framework
  • Design our data models for optimal storage and retrieval and to meet critical product and business requirements.
  • Understand and influence logging to support our data flow, architecting logging best practices where needed
  • Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
  • Improve data quality by using & improving internal tools to automatically detect issues
Your Expertise:
  • 2-4 years of relevant industry experience with a Bachelor’s degree, preferably in CS, or a Master’s degree in lieu of industry experience
  • Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices
  • Working knowledge of relational databases and query authoring (SQL).
  • Excellent communication skills, both written and verbal
How We’ll Take Care Of You: Our job titles may span more than one career level. The starting base pay for this role is between $134,000 and $179,500. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the best and brightest people from the broadest talent pool possible. We believe a diversity of ideas foster innovation and engagement, allow us to attract the best people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. If you need assistance or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com. Your Location: This position is US – Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb, Inc. can employ in states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware or Rhode Island. As this list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. How We’ll Take Care Of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Job Features

Job Category

Data Science

About the job Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals …View more

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