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Salary- $80K/yr – $100K/yr
Remote, Virginia
Posted 2 days ago
Category/Area of Expertise: Procurement & Logistics Job Requisition: 406054_external_USA-ME-Scarborough Address: USA-ME-Scarborough-145 Pleasant Hill Rd Store Code: IN STOCK (5120643) ADUSA Procurement is a partner company to Ahold Delhaize USA, providing supply chain services that support the delivery of products from a supplier to the warehouse. ADUSA Procurement is part of the Ahold Delhaize USA family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Primary Purpose: Primary responsibilities are to ensure appropriate operational service levels at retail. This includes working with vendors on product flow to achieve vendor to warehouse fill rate goals (VFR). This role also has direct responsibility of managing inventory days of supply objectives (DOS) and on shelf availability (OSA) targets, for their assigned vendors. This position will understand the future variability that impacts product movement – from increasing efficiencies, impacting the greater network, troubleshooting root causes, and supporting procurement streams (diverting, forward buy, efficiency programs). This role is the primary interface to vendor Supply Chain partners, representing ADUSA Supply Chain and communication of product availability issues to brand teams. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Applicants must be currently authorized to work in the United States on a full-time basis. Essential job functions :
  • Manage all Relex daily, weekly, monthly workflows resulting in achieving operational service level targets.
  • Monitor and ensure timely execution of all planned product allocations as needed.
  • Analyze system exceptions for root cause.
  • Manage inventory to achieve DOS, obsolete, and product freshness target.
  • Execute and monitor purchase orders-including on time and in full metrics.
  • Consult with Advantage team and Demand Systems Specialists on vendor efficiency programs. Ensure operational adherence to efficiency programs by working with the Demand Systems Specialist to input the rules.
  • Develop a plan to address overstocks and left-over sale excess inventory in collaboration with the Merchandising group.
  • Work with suppliers, Quality Control, Supply Chain operations, store divisional operations, and Risk Management to address product availability, freshness, and product transition issues, as well as recalls and market withdrawals.
  • Stay informed on commodity or other supplier issues that impact category sales. Anticipate and act on supplier issues, seasonal changes, natural disasters, crop conditions, and manufacturing issues ensuring efficient order quantities.
  • Provide timely communication to supervisors related to inventory transactions, resolving issues, short-term out of stocks.
  • Collaborate with Forecast Analysts to explain and identify forecast variance and provide additional information around marketing strategies, special promotions, and anticipated influences to sales that are not likely to be identified through system-driven exception analysis.
  • Additional job duties may be assigned as needed to meet the needs of the business and support our Values.
Qualifications: Knowledge
  • Demand management practices.
  • Intermediate to advanced Microsoft Excel
  • Working knowledge of Supply Chain processes
  • Relex knowledge preferred.
Skills
  • Oral and written communication skills
  • Basic to intermediate Excel
  • Presentation skills
  • Inventory management best practices.
  • Attention to detail.
  • Store Operations preferred.
  • Team player and collaborator
Abilities:
  • Strong Mathematical and Statistical aptitude
  • Ability to analyze and decipher large amounts of data.
  • Ability to analyze complex problems and rule sets.
  • Ability to determine root causes and implement solutions.
  • Strong critical thinker, autonomous decision-maker
  • Customer focus
  • Takes initiative, self-starter.
Education
  • Bachelor’s Degree in Statistics, Mathematics or related business field or equivalent relevant experience
Experience
  • 0-3 Years
  • #LI-SM1 #LI-Hybrid
At Ahold Delhaize USA, we value Diversity, Equity, Inclusion and Belonging (DEI&B). Our employees and prospective employees are treated with respect and dignity. As an equal opportunity employer, we comply with all applicable federal, state and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status or any other characteristic protected by law.

Job Features

Job Category

Data Analyst

Category/Area of Expertise: Procurement & Logistics Job Requisition: 406054_external_USA-ME-Scarborough Address: USA-ME-Scarborough-145 Pleasant Hill Rd Store Code: IN STOCK (5120643) ADUSA Pr…View more

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Salary- $105.8K/yr – $174.8K/yr
Remote
Posted 3 weeks ago
Are you looking for a Security role within a dynamic, innovative financial technology organisation? If so, we are recruiting for an Cyber Security Engineer to join our cyber security team! Working alongside the team you will help to design, develop, and mature the company’s cybersecurity capability, including the selection, implementation, and management of security tools/technologies, focused on detection, prevention, and analysis of security threats. This role offers a great opportunity to help define and shape the security function within a collaborative IT department, ensuring the protection of customer assets. Responsibilities include:
  • Work with technology and business teams to deliver security processes, technologies and controls, acting as the authority on security related queries.
  • Define, design, implement, and maintain security solutions appropriate to the business’ needs.
  • Support the definition, execution and continuous improvement of key cybersecurity processes including vulnerability & patch management, security incident response, security monitoring, endpoint security, identity and access management, network security, and cryptography.
  • Assist with developing and maintaining security policies, processes and incident response management plans and playbooks.
  • Prepare and document standard operating procedures and protocols.
  • Provide expertise on security requirements into core technology processes like asset management, change management, third-party management, technology development & acquisition, configuration management, etc.
  • Contribute as a team member in projects and change initiatives aimed at increasing enterprise security capabilities e.g., identity and access management, log aggregation, etc.
Required experience:
  • Minimum of 2 years’ experience in a Security Engineer/Analyst, role focusing on designing and implementing security solutions and managing security infrastructure.
  • Previous experience working within a financial services environment and a working understanding of relevant regulations.
  • Experience and in-depth technical knowledge of deploying, maintaining, and configuring a wide range of security technologies within a large and complex environment (anti-malware/EDR, SIEM solutions, vulnerability scanners, patch management, CASB, DLP, penetration testing tools, etc.)
  • Knowledge of TCP/IP and related network protocols: knowledge of standard network protocols like TCP, ARP, ICMP, DHCP, DNS, HTTP, SNMP, VPN etc., and accompanying protocol/packet analysis/manipulation tools.
  • Understanding of key operating systems and network appliances and the ability to assess their security posture based on their configuration/deployment.
  • Experience of working effectively with a variety of stakeholders from different technology and business teams.
  • Strong verbal and written communication skills.
Desirable experience:
  • Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), or Certified Information Security Manager (CISM).
  • Strong knowledge of Operating System security and system hardening concepts such as CIS Benchmarks.
  • Experience in working with information security frameworks and regulatory requirements including ISO27001, NIST, PCI DSS, GDPR, Cyber Essentials.
  • Experience of general IT Audit processes and conducting risk assessments.
You will be a proactive self starter with strong communication skills and be comfortable interacting with stakeholders at all levels. You will have a strong technical background with previous experience of implementing security solutions. You will have the ability to tailor your approach and translate requirements to non-technical members of staff. We offer a competitive remuneration package, including company discretionary bonus, excellent pension contributions, an attractive staff share scheme, BUPA health insurance, buying and selling of annual leave and sponsorship of relevant professional qualifications. The role is based in our central London office, working a minimum of two days a week in the office and three days a week from home.
About Us Transact is the leading independent investment wrap platform in the UK. Established in 2000, we have over £62 billion of funds under direction (as at June 2024) on behalf of over 7,900 advisers and 234,000 investor clients. Our service includes an online platform, owned and built by us, and dedicated regional adviser support to help bring clients’ assets and investments together in a smarter, more tax efficient way. We offer access to a wide range of tax wrappers (including ISAs, pensions and life insurance investment bonds) and funds which advisers use to build client investment portfolios. Portfolio valuations, purchases and sales are all supported via Transact Online which is available 24/7. Transact’s parent company, IntegraFin Holdings plc, is listed on the London Stock Exchange and is a constituent of the FTSE 250 index. Equal Opportunities We provide a diverse and inclusive workplace and ensure that all of our staff respect and understand individual differences. We are an equal opportunities employer and positively encourage applications from suitably qualified and eligible candidates regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex or sexual orientation.

Job Features

Job Category

Cyber Security, Cybersecurity Engineer

Are you looking for a Security role within a dynamic, innovative financial technology organisation? If so, we are recruiting for an Cyber Security Engineer to join our cyber security team! Working alo…View more

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Salary- $180K/Yr – $210K/Yr
TX
Posted 3 weeks ago
Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. The Fragiadakis (Data Science) and Combes (Disease to Biology) Labs, are seeking researchers in computational biology, bioinformatics, and data science to tackle current challenges in immunology. As a member of the lab, you will learn the analysis methods, as well as the conceptual and biological background, to analyze -omics datasets such as CyTOF, single-cell sequencing, and spatial transcriptomics. Once comfortable with these methods, under direct supervision, you will perform analyses to contribute to our understanding of immune state in our patient cohorts. You will integrate molecular data with clinical information to understand how the immune system impacts disease outcomes. You will be expected to document your analyses, present your progress and results, and participate in lab meetings. We currently have several projects examining the relationship between immune state and health outcomes in a variety of UCSF patient cohorts, including infection, autoimmunity, and cancer. Our aim is to better understand how the immune system is wired and responds, to develop better disease diagnosis and treatments. As a member of our labs, you will contribute to the design of new experiments, help maintain our computational infrastructure, and track the flow of samples and information for large-scale studies. This position is jointly offered by Dr. Alexis Combes and Dr. Gabriela Fragiadakis, who both direct CoLab teams that often collaboratively pursue questions of immune state using single-cell methods, providing an environment of wet-lab and computational biologists with whom to work. While this position requires some proficiency in programming and data analysis, candidates who are fast and eager learners, who can readily adopt new bioinformatics pipelines/workflows that have been developed in the lab and the field at-large and apply them to a series of diverse projects can be successful in this role. An aptitude for collaborative work and organization is required to excel in our environment of diverse researchers. The candidate will receive training in data analysis, as well as develop expertise and intuition in biology. This position is ideal for recent graduates and can serve as a stepping-stone for a graduate program or career in bioinformatics, computational biology, or data science.The final salary and offer components are subject to additional approvals based on UC policy.Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.The salary range for this position is $67,000 – $143,800 (Annual Rate).To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
Department Description
CoLabs is a new model for research collaborations for the UCSF community. CoLabs centralizes research teams and creates a set of common pipelines and workflows. It recruits and retains world class staff and trainees and develops transformative methods and technologies through engagement with the research community and institutional investments. The CoLabs initiative is comprised of five labs: Biological Imaging Development (BIDC), Data Science (DS), Disease to Biology (D2B), Flow Cytometry, and Genomics. The CoLabs help organize and integrate the UCSF community through common pipelines and data curation and pursue a set of collaborative “CoProjects” that tackle fundamental questions in the biomedical research. CoProject day-to-day operations are managed and run through the CoLabs.
Required Qualifications
  • Bachelor’s degree in biological science, computational / programming (bioinformatics, computational biology, statistics, computer science, engineering), or related area and / or equivalent experience / training.
  • Knowledge in a programming language such as R. Python, or similar programming languages.
  • Knowledge in flow/mass cytometry and/or bulk/Single-cell RNAseq
  • Basic knowledge of biology
  • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.
  • Ability to communicate technical information in a clear and concise manner.
  • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills.
Preferred Qualifications
  • Basic knowledge of the execution and optimization of biological pipelines.
  • Basic knowledge of databases.
  • Basic project management skills.
  • Basic knowledge of GitHub or equivalent
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Organization
Campus
Job Code and Payroll Title
009403 BIOINFORMATICS PROGR 1
Job Category
Professional (Non-Clinical)
Bargaining Unit
99 – Policy-Covered (No Bargaining Unit)
Employee Class
Career

Job Features

Job Category

Cyber Security

Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and comple…View more

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Texas, TX
Posted 3 weeks ago
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Job Description: This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Responsibilities:
  • Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
  • Applies agile practices for project management, solution development, deployment, and maintenance
  • Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
  • Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
  • Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
  • Mitigates risk by identifying potential issues and developing controls
  • Researches the latest advances in the fields of data science and artificial intelligence to support business analytics
Skills:
  • Adaptability
  • Attention to Detail
  • Business Analytics
  • Technical Documentation
  • Written Communications
  • Agile Practices
  • Application Development
  • Collaboration
  • Data Visualization
  • DevOps Practices
  • Artificial Intelligence/Machine Learning
  • Networking
  • Policies, Procedures, and Guidelines Management
  • Presentation Skills
  • Risk Management
Required Qualifications:
  • Bachelor’s Degree
  • NLP / ML and GenAI Expert
Minimum Education Requirement: Bachelor’s Degree Shift: 1st shift (United States of America) Hours Per Week: 40

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our…View more

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Salary- $80K/yr – $100K/yr
Remote
Posted 3 weeks ago
Open to current or former Federal, Intelligence Analysts (0132) within the Intelligence Community. This announcement is NOT applicable to current or former FBI Intelligence Analysts or Supervisory Intelligence Analysts. Applications will not be accepted from outside this area of consideration. The FBI is an Intelligence Community (IC) agency like no other. As an FBI Intelligence Analyst (IA), you will lead analysis of criminal and national security threats to the U.S. that helps the FBI, policymakers, and partners identify threats and opportunities and inform decision-making. You will apply analytic tradecraft to analyze information derived from our unique blend of law enforcement and intelligence authorities. You will work with special agents, other FBI and IC colleagues, and partners to identify threat priorities, collection strategies, and disruption opportunities. FBI is looking for applicants who exhibit the identified critical skills listed under the Selective Placement Factor section of this job posting working at one of the 18 agencies designated by the ODNI. https://www.intelligence.gov/how-the-ic-works#our-organizations
Key Requirements
  • Must be current or former Federal, Intelligence Analysts (0132) within the Intelligence Community.
  • Must attend and successfully progress beyond the Intelligence Analyst Meet and Greet
  • Must be able to obtain a Top-Secret SCI clearance from the FBI
  • Must have a bachelor’s degree from an accredited college or university
Candidates selected from this posting will be required to successfully graduate from a 12- week Intelligence Basic Field Training Course (BFTC) at our training facility in Quantico, Va.
  • Must sign a mobility service agreement indicating your willingness to relocate to any office, based on the needs of the FBI
Candidates selected from this posting will be assigned to HQ divisions primarily in Washington DC, but potentially including locations that house FBI HQ personnel such as McLean VA Chantilly VA, Crystal City VA, Merrifield VA, Linthicum MD, Huntsville AL, Pocatello ID, Quantico and Fredericksburg VA, and Clarksburg, WV.
  • Must adhere to the two-year IA probationary period starting from the effective date of first assignment
Required Documents Failure to provide necessary and relevant information required by this job posting may disqualify you from consideration. 1. Resume (relevant/specialized work experience with start and end dates) 2. Official/Unofficial Transcript 3. SF-50 showing current employment as a 0132 at a designated IC agency Additional information will not be requested if your application is incomplete. Your application will be evaluated solely based on information you have submitted. Major Duties As an IA, you will:
  • Review FBI communications to identify and evaluate the intelligence information therein.
  • Prepare and disseminate intelligence information while protecting sources and investigations through correct document classification and controls.
  • Communicate with FBI field offices, legal Attaches (Legats), analysts, and members of the Intelligence Community (IC), policy, and law enforcement communities to gain a better
understanding of sources, operations, missions, and requirements.
  • Assist in the preparation of collection instructions, guides, and manuals for FBI entities and interact with outside entities to facilitate their initiatives.
  • Analysis to include collation of raw, primary, and secondary data derived from various sources such as automated data base systems, operational intelligence reports, miscellaneous
communications, case files, internal and external automation systems, and other sources.
  • Prepares parts of more complex studies or reports that include aspects related to their specifically-defined geographic or functional area.
  • May participate in interagency committees and meetings as representatives of the organization or functional area.
  • Evaluates incoming reports and information and performs interpretations and projections under the guidance of senior analysts.
  • Prepares basic descriptive and current reportorial intelligence reports to higher-level analysts and superiors in their assigned area of responsibility.
  • Ensures compliance with laws, regulations, executive orders, and directives promulgated by the Congress, Attorney General, the Director of the FBI, and the Office of Director of National
Intelligence (ODNI) to achieve goals and objectives.
Qualifications and Evaluations
  • Current or Former Federal Intelligence Analysts should ONLY apply to the grade level in which they currently hold.
  • Your resume and supporting documentation will be used to determine whether you meet the job qualifications and competencies listed in this announcement and will be compared to your
responses to the online assessment questionnaire.
  • Applicants must meet the qualification requirements by the closing date of this announcement.
  • Please ensure your specialized experience/requirement(s) can be identified in your resume.
Competencies
  • Analytic Thinking
  • Communication
  • Information Management
  • Collaboration
  • Flexibility and adaptability
  • Organization and planning
  • Problem solving and judgement
Specialized Experience (SE) GS 11: Applicants must have at least one (1) year of experience at the GS11 grade level. SE is as follows:
  • Conduct analytical reviews of data to identify patterns.
  • Analyze information and make decisions regarding its value and worth to a case.
  • Provide briefings, intelligence reports, and/or recommendations to management or higher-level staff.
GS 12: Applicants must have at least one (1) year of experience at the GS12 grade level. SE is as follows:
  • Guide investigative, programmatic, and policy decisions by the intelligence, policy, and law enforcement communities.
  • Manage the collection and dissemination of intelligence information from investigations, sources and contacts to the intelligence, policy, and law enforcement communities.
  • Perform liaison duties with other US and foreign government agencies on a wide variety of topics.
GS 13: Applicants must have at least one (1) year of experience at the GS13 grade level. SE is as follows:
  • Interpretation of investigative information and extrapolating data for the collection, analysis, evaluation, and dissemination to the appropriate officials of the IC, law enforcement agencies,
and other government entities.
  • Review information/data, determine the significance, and validate its accuracy and reliability.
  • Use of various analytical techniques and devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events.
GS 14: Applicants must have at least one (1) year of experience at the GS14 grade level. SE is as follows:
  • Expertly handle complex issues, providing guidance to investigative, programmatic, policy decisions by the intelligence, policy, and law enforcement communities.
  • Expertly able to review information/data, determine the significance, validate its accuracy and reliability
  • Using various analytical techniques, devises immediate and projected estimations for those characteristics of each situation that may affect capabilities and/or specific events
Initiate dialogue with counterparts in the analytical and intelligence community to anticipate emerging intelligence issues Selective Placement Factors
Please ensure that one or more of the following are identified within your resume:
  • Cyber: computer science, engineering, information assurance/security, information science, data science/analytics, ethical/white hat hacking, telecommunications security,
programming/coding or computer forensics. OR
  • National Security: International relations/foreign affairs, international migration, world religions, homeland security, international law, international finance, SIGINT or offensive technological
collection operations, or subject and source targeting. OR
  • Hard Sciences: Engineering, chemical, biological/agriculture, physics, physical science, biometrics, biomedical, or forensic science. Experience and familiarization with artificial intelligence,
quantum information sciences, immersive technologies, vehicle telematics, energy infrastructure, microelectronics, and wireless technology. OR
  • Other: Accounting/economics, geospatial/mapping, open-source intelligence, journalism, electrical or psychology/sociology. Degree of study in the following areas: Central Asia, China,
Korea, the Middle East, African/Arabian Peninsula, Eurasia, Cuba, or Latin America.

Job Features

Job Category

Cyber Security

Open to current or former Federal, Intelligence Analysts (0132) within the Intelligence Community. This announcement is NOT applicable to current or former FBI Intelligence Analysts or Supervis…View more

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Salary- $60K/yr – $70K/yr
Hybrid
Posted 3 weeks ago
Title: .NET Web Developer Location: Hybrid

Summary

.NET framework to support business requirements. Includes the use of related development technologies such as ASP.NET, MVC, .NET CORE and supported programming languages (e.g. C#, C++, bootstrap) and scripting languages (e.g. TypeScript, JavaScript). Performs development of front-end and back-end development of web applications and web API’s (webservices). Experience with standard concepts, practices, and procedures within a particular field. Can perform with no direct supervision, code is reviewed by team. Reviews junior developer’s code.

Top Skills & Years of Experience

·         .NET MVC with C# and .NET CORE

·         CSS and HTML

·         TFS, GitHub and/or Jira

·         Full stack development

·         Entity Framework

·         Strong knowledge and experience with SQL Server database

·         Crystal Reports

·         MS Access-based applications

·         Kendo Framework

Job Features

Job Category

IT Development

Title: .NET Web Developer Location: Hybrid Summary .NET framework to support business requirements. Includes the use of related development technologies such as ASP.NET, MVC, .NET CORE and supported p…View more

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Salary- $157K/Yr – $182.5K/Yr
Hybrid, Onsite
Posted 3 weeks ago

Finance Analyst – Business Planning & Investment Strategy

A Finance Analyst specializing in business planning and investment strategy plays a pivotal role in guiding organizations toward financial growth, stability, and long-term sustainability. This position involves analyzing financial data, building forecasts, and delivering insights that directly influence strategic business decisions. The Finance Analyst not only interprets numbers but also connects them to the larger picture—helping executives make informed choices about budgeting, investments, risk management, and profitability.

The primary responsibility of this role is to examine financial performance across revenue, costs, and profitability. Analysts gather data from accounting systems, business operations, and market research reports to evaluate past trends and predict future outcomes. They create financial models to simulate various business scenarios, enabling leadership to understand how different strategies might impact profitability. For example, an analyst might assess the financial impact of launching a new product line, expanding into new markets, or restructuring operating expenses.

Budgeting and forecasting are central functions of this position. Finance Analysts collaborate with department heads to prepare annual budgets, track variances between actuals and forecasts, and provide recommendations to control costs or maximize revenue. Their insights help ensure that resources are allocated efficiently and that financial targets align with overall business strategy.

Another major responsibility is investment and risk analysis. Finance Analysts evaluate opportunities for capital investment, acquisitions, or partnerships by conducting financial due diligence, calculating ROI (Return on Investment), and assessing potential risks. They also monitor market conditions, competitor performance, and economic indicators to provide leadership with a comprehensive understanding of external factors that may influence financial outcomes.

This role requires strong collaboration with senior executives, accounting teams, and operations managers. Finance Analysts prepare financial reports, dashboards, and presentations that communicate complex financial concepts in a simple and actionable manner. Their recommendations often influence board-level decisions, making accuracy, clarity, and business storytelling critical.

Technology plays a key role in the day-to-day work of a Finance Analyst. They use advanced Excel functions, SQL databases, and financial software like SAP, Oracle, or QuickBooks to manage and analyze large datasets. Data visualization tools such as Power BI or Tableau are often employed to present insights in an interactive and easy-to-understand way. Increasingly, Finance Analysts are expected to use predictive analytics and automation tools to streamline financial planning processes and enhance accuracy.

Beyond technical expertise, this role demands strong problem-solving skills, critical thinking, and adaptability. Finance Analysts must be detail-oriented while also keeping a strategic perspective. They should be comfortable working in fast-paced environments where priorities shift quickly, especially in industries like banking, consulting, or retail.

In summary, a Finance Analyst in business planning and investment strategy is a trusted advisor who transforms raw financial data into actionable insights. By combining analytical skills with business acumen, they help organizations make smarter financial decisions, manage risks effectively, and achieve sustainable growth. Their work ensures that financial strategies are aligned with long-term goals, ultimately contributing to the success and resilience of the business.

Job Features

Job Category

Data Analyst, Data Science

Finance Analyst – Business Planning & Investment Strategy A Finance Analyst specializing in business planning and investment strategy plays a pivotal role in guiding organizations toward financi…View more

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Salary- $180K/Yr – $210K/Yr, Salary- $183.5K/Yr – $265K/Yr
Hybrid
Posted 4 weeks ago

We are seeking an experienced AI/ML Governance & Security Specialist to design, implement, and manage governance frameworks, security controls, and compliance strategies for AI and Machine Learning systems. The ideal candidate will ensure that AI solutions are secure, ethical, compliant, and aligned with regulatory and organizational standards.

Key Responsibilities

  • Develop and enforce AI/ML governance policies, standards, and best practices

  • Ensure secure development, deployment, and operation of AI/ML models

  • Identify and mitigate security risks related to AI systems, data pipelines, and models

  • Implement data privacy, model security, and access control mechanisms

  • Monitor AI systems for bias, fairness, explainability, and ethical compliance

  • Conduct risk assessments and security audits for AI/ML platforms

  • Ensure compliance with regulations such as GDPR, HIPAA, SOC 2, ISO 27001, and AI-related policies

  • Collaborate with data scientists, engineers, legal, and compliance teams

  • Establish incident response procedures for AI-related security threats

  • Document governance frameworks, security controls, and compliance reports

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, or a related field

  • Strong understanding of AI/ML models, pipelines, and data workflows

  • Experience with AI security, model risk management, and governance frameworks

  • Knowledge of data privacy, encryption, access control, and secure model deployment

  • Familiarity with ethical AI principles, bias detection, and explainable AI (XAI)

  • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools

  • Understanding of regulatory and compliance requirements for AI systems

  • Strong analytical, documentation, and communication skills

Preferred Qualifications

  • Certifications in AI, cybersecurity, or governance (CISSP, CISM, AI Governance, ISO 27001)

  • Experience with adversarial ML, model monitoring, and AI threat detection

  • Knowledge of NIST AI Risk Management Framework or similar standards

  • Experience in enterprise or regulated industry environments

Why Join Us?

  • Work on cutting-edge AI and ML security initiatives

  • Be part of a forward-thinking and innovative team

  • Opportunity to shape responsible and secure AI practices

  • Competitive salary and growth opportunities

Job Features

Job Category

AI Engineer, Cyber Security

We are seeking an experienced AI/ML Governance & Security Specialist to design, implement, and manage governance frameworks, security controls, and compliance strategies for AI and Machine Learnin…View more

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Salary- $120K/yr – $150K/yr
Hybrid, Remote
Posted 4 weeks ago
Title: PowerBI Data Analyst Location: Hybrid
Hiring Manager Notes:
  • Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years.
  • Excellent communication is essential. This Statistician will:
  • 1. Require a working knowledge of formal statistical analysis and causal modeling.
  • 2. Use SQL to manipulate and model data.
  • 3. Use Python or R perform statistical and causal modeling; create visualizations;
  • 4. Use Tableau to create interactive visualizations
Additional Comments :
  • We need strong Statistical Analysis candidate with hands on Tableau exp.
  • We are actively looking for a data scientist. Any data scientist should have experience with ML and building visualizations. (If they don’t have ML experience, they are a data analyst; not a data scientist.) The technology they use might vary, so I am looking for ones with experience in python, SQL, and Tableau.
  • Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years
  • Excellent communication is essential
This role will:
  • Use Tableau to create visualizations
  • Use SQL to manipulate and model data
  • Use python to manipulate and model data; create visualizations;
  • Require a working knowledge of formal statistical analysis and causal modeling
  • Require excellent communication skills

Job Features

Job Category

Data Analyst, Data Engineer

Title: PowerBI Data Analyst Location: Hybrid Hiring Manager Notes: Please make sure that candidates have been using PowerBI, SQL, and Python on a weekly basis for the past 5+ years. Excellent communic…View more

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Salary- $151K/yr – $185K/yr
Remote
Posted 1 month ago

Job Description

We are looking for a skilled Azure Machine Learning Engineer to design, build, and deploy scalable machine learning solutions on Microsoft Azure. You will work with data scientists, software engineers, and business teams to develop AI-driven solutions, including projects in finance, banking, and fintech domains.

Candidates with a finance background and strong technical skills are highly encouraged to apply.

Key Responsibilities

  • Design and deploy machine learning models using Azure Machine Learning

  • Build and manage ML pipelines using Python, Azure ML Studio, and Azure DevOps

  • Analyze large datasets, including financial and transactional data

  • Develop predictive models for risk analysis, fraud detection, and forecasting

  • Integrate ML models into production systems and APIs

  • Monitor, optimize, and retrain models for performance and accuracy

  • Ensure data security, compliance, and system scalability

  • Collaborate with cross-functional technical and finance teams

Required Skills & Qualifications

  • 3+ years of experience in Machine Learning, Data Engineering, or related roles

  • Strong knowledge of Microsoft Azure (Azure ML, Azure Data Factory, Azure Storage, AKS)

  • Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)

  • Experience with MLOps and CI/CD pipelines

  • Understanding of statistics, data modeling, and model evaluation

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Finance, Engineering, or related field

  • Candidates with finance, banking, accounting, or economics background may apply

Nice to Have

  • Microsoft Azure AI or Data Scientist certification

  • Experience in fintech, trading systems, or financial analytics

  • Knowledge of Spark, Databricks, Docker, and Kubernetes

Why Join Us?

  • Competitive salary: $150k – $200k

  • Work on real-world AI projects in finance and enterprise domains

  • Strong career growth and certification support

  • Flexible working options

  • Supportive and innovative work culture

Job Features

Job Category

Data Science

Job Description We are looking for a skilled Azure Machine Learning Engineer to design, build, and deploy scalable machine learning solutions on Microsoft Azure. You will work with data scientists, so…View more

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Salary- $92K/yr – $144K/yr
Onsite
Posted 1 month ago

Job Description:

We are looking for a Site Reliability Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and data scientists to develop, deploy, and manage scalable infrastructure for astronomical data processing, observatory automation, and space research applications.

Key Responsibilities:

  • Design, implement, and maintain CI/CD pipelines for astronomical software and data processing workflows.

  • Manage and optimize cloud-based infrastructure (AWS, Azure, or Google Cloud) for large-scale space data storage and analysis.

  • Automate deployment, scaling, and monitoring of telescope control systems, astrophysics simulations, and satellite operations.

  • Collaborate with scientists and engineers to integrate DevOps best practices into astronomical research projects.

  • Implement containerization and orchestration (Docker, Kubernetes) for astronomical data pipelines.

  • Enhance system reliability, security, and performance for astronomical observatories and space missions.

  • Develop and maintain infrastructure as code (Terraform, Ansible, or CloudFormation).

  • Monitor and troubleshoot system performance and astronomical data processing jobs.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Astronomy, Astrophysics, or related fields.

  • 3+ years of experience in DevOps, SRE, or Cloud Engineering.

  • Proficiency in Linux, Shell scripting, Python, or Golang.

  • Experience with cloud services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

  • Knowledge of big data processing (Hadoop, Spark, or Apache Airflow) for handling astronomical datasets.

  • Familiarity with astronomical data formats (FITS, HDF5) and scientific computing tools.

  • Passion for space exploration, astronomy, or satellite technology.

Preferred Qualifications:

  • Experience working with astronomical observatories, space agencies, or research institutes.

  • Understanding of radio astronomy, optical telescopes, or space mission software.

  • Contributions to open-source projects related to space science or DevOps.

Benefits:

  • Work on cutting-edge space and astronomy projects.

  • Collaborate with leading scientists and space agencies.

  • Competitive salary and flexible work environment.

  • Opportunity to contribute to groundbreaking astronomical discoveries.

Job Features

Job Category

DevOps

Job Description: We are looking for a Site Reliability Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicist…View more

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Salary- $90K/yr – $120K/yr
Hybrid
Posted 1 month ago

Key Responsibilities:

  • Design, implement, and validate security measures within .NET applications.

  • Perform code reviews and vulnerability assessments.

  • Collaborate with development teams to integrate security into the software lifecycle.

  • Develop and enforce secure coding guidelines.

  • Educate developers about secure coding standards and threat awareness.

  • Stay current with security threats, trends, and technologies.

An Application Security Engineer (.NET) ensures that .NET-based applications are safeguarded against security risks by implementing proactive security strategies. This role involves code review, risk assessment, and close collaboration with developers to embed security practices into each phase of development. Acting as an expert resource, they provide guidance on secure coding and emerging threats, working to protect software assets and organizational data.

Job Features

Job Category

Cyber Security

Key Responsibilities: Design, implement, and validate security measures within .NET applications. Perform code reviews and vulnerability assessments. Collaborate with development teams to integrate se…View more

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Salary- $157K/Yr – $182.5K/Yr
Hybrid
Posted 1 month ago
Title: DevOps Engineer Location: Hybrid About The Job

Description:

Senior Full stack Engineer who is passionate about continuous innovation. Having at least 6+years of demonstrable development experience in React JS and Node JS together with working knowledge of LINUX, database, application deployment, version control, microservices would be key for individual’ success in a fast paced / agile environment. In this support role, Engineer would bring their A-game to provide day-to-day application support, not limited to monitoring application health, enhancing the application to implement bug fixes or system changes, application deployment, design, and test.

Top skills 

• React 17 (+) – JavaScript – HTML5, CSS 

• Node JS 

• Rest APIs, microservices 

• PL/SQL (Oracle, Postgres) 

• Version Control using Git 

• CI/CD approaches

Job Features

Job Category

DevOps

Title: DevOps Engineer Location: Hybrid About The Job Description: Senior Full stack Engineer who is passionate about continuous innovation. Having at least 6+years of demonstrable development experi…View more

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Salary- $157K/Yr – $182.5K/Yr, Salary- $180K/Yr – $210K/Yr
Hybrid
Posted 1 month 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

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Salary- $210K/Yr – $230K/Yr
Onsite
Posted 2 months ago
Company Description We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers, and engineers committed to pushing the boundaries of AI to create transformative solutions. Join our diverse and collaborative team and play a pivotal role in harnessing AI’s incredible power to help professionals reach their full potential. Responsibilities
  • Develop and optimize neural network architectures, including CNNs, for real-time image analysis and pattern recognition.
  • Adapt pre-trained language models to our specific domain and use cases.
  • Develop and deploy state-of-the-art computer vision models for real-time applications.
  • Experiment with different fine-tuning techniques to improve model performance on relevant tasks.
  • Build visual models to analyze and process image, video, and text data and combine them with additional external and internal sources of multi-modal data
Minimum Qualifications
  • Experienced in machine learning and computer vision, in research and/or production.
  • Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
  • Master’s, PhD, or equivalent industry experience.
  • Strong desire to build and scale a startup from the early days.
Required skills
  • Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
  • Knowledge of neural networks, CNNs, and image processing techniques.
  • Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
  • Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
  • Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
Nice to Have:
  • Experience working at a startup
  • Experience with real-time video analysis, object detection, and scene understanding.
  • Experience with visual transformers and their applications in computer vision tasks such as 3D modeling, neural rendering, or advanced video processing.
Minimum Qualifications
  • Strong desire to build and scale a startup from the early days.
  • Experienced in machine learning and computer vision, in research and/or production.
  • Proficient in computer vision technologies and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
  • Master’s, PhD, or equivalent industry experience.
Required skills
  • Experience with computer vision or multi-modal tasks like semantic segmentation, object detection, instance segmentation, text-to-image, etc.
  • Knowledge of neural networks, CNNs, and image processing techniques.
  • Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation/reinforcement learning.
  • Understanding of AI/ML concepts, algorithms, and techniques, with hands-on experience in LLMs (e.g., GPT-3, LaMDA), computer vision (e.g., CNNs, object detection).
  • Experience in quality detection, pattern recognition, and anomaly detection using machine learning techniques.
Nice to Have:
  • Experience with open-source frameworks for building applications powered by language models like LangChain, LlamaIndex, etc.
  • Experience with large-scale machine learning systems such as profiling and debugging and understanding of system performance and scalability.
  • Peer-reviewed publications in multi-modality, large language models, continual learning and/or federated learning.
Note: 1) Role does not sponsor visa at this time. 2) Role will have option to convert full time after initial contract with generous equity.

Job Features

Job Category

AI Engineer, Data Science

Company Description We are on a mission to revolutionize online coaching and e-commerce with AI. We are currently in Stealth mode and based in SF Bay Area. Our team comprises visionaries, researchers,…View more

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