data analyst

data engineer

data scientist

software engineer

senior data engineer

data developer

Uncommon Schools

<div><b>Company Description</b><p><br>
Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our <b>students consistently exceed national benchmarks</b>, reflecting our dedication to their success. We <b>invest deeply in our educators</b>, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference!</p><b><br>
Job Description</b><p><br>
Are you passionate about building AI systems that solve real operational challenges within the education sector? We're looking for a Senior Developer to lead the vision setting for and deployment of AI solutions across Uncommon Schools&mdash;from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you'll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI. Your work will directly impact how thousands of educators and administrators work each day.</p><p><i>
Duties &amp; Responsibilities</i></p><p><b>
Solution Vision &amp; Architecture</b></p><ul><li>
Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems</li><li>
Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability</li><li>
Partner with business process owners, product managers, and system managers to align AI capabilities with user needs and organizational goals</li></ul><p><b>
Development &amp; Deployment</b></p><ul><li>
Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks</li><li>
Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring</li><li>
Build secure API integrations and data pipelines that allow AI systems to safely interact with core Uncommon databases without errors or data hallucination</li></ul><p><b>
Infrastructure &amp; Enablement</b></p><ul><li>
Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently</li><li>
Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency</li><li>
Work with Data &amp; IT product managers to determine implementation pathways and data architecture across systems</li></ul><p><b>
Governance &amp; Continuous Improvement</b></p><ul><li>
Develop and maintain a library of &quot;Prompt Blueprints&quot; and best practices for AI implementation across the organization</li><li>
Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems</li><li>
Coach and support adjacent teams on AI development methodologies and emerging best practices</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required</b></p><ul><li>
Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience</li><li>
7+ years of professional software development experience</li><li>
5+ years of hands-on experience building integrations using APIs between applications</li><li>
5+ years working with source control and continuous integration tools (such as GitLab)</li><li>
Proficiency coding or scripting in at least one programming language (Python, SQL, JavaScript/TypeScript, or Node.js)</li><li>
Experience with frequent, incremental code testing and deployment practices</li><li>
Strong understanding of automation tools and SDLC methodologies</li></ul><p><b>
Preferred</b></p><ul><li>
Master's degree in Computer Science, Data Science, or related field</li><li>
Hands-on experience with AI frameworks such as LangChain, LlamaIndex, TensorFlow, or PyTorch</li><li>
Expertise deploying solutions on cloud platforms (AWS Bedrock/SageMaker or Google Cloud Vertex AI)</li><li>
Experience designing and optimizing prompts for generative AI models</li><li>
Track record mentoring or coaching other developers on technical practices</li></ul><br>
<b>
Additional Information</b><p><b><br>
Compensation</b></p><p>
Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity &amp; fairness and attracting &amp; retaining top talent.</p><p>
The full compensation range for this role is $120,700-$142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed.</p><p>
Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Additionally, because we value internal growth and tenure, current staff members are not subject to salary caps within this range.</p><p><b>
Benefit Highlights</b></p><ul><li>
19 days of paid time off</li><li>
3 weeks of paid Winter and Summer org-wide holidays</li><li>
Comprehensive Health, Dental, and Vision insurance plans</li><li>
403(b) retirement savings program + employer match</li><li>
Paid leave of absence options (parental, medical, disability, etc.)</li><li>
Mental health and counseling support + wellness benefits</li><li>
Pre-tax flexible spending, dependent care, and health saving accounts</li><li>
A detailed list of all benefits is located HERE</li></ul><p><b>
Work Environment</b></p><ul><li>
Location: New York, NY | Hybrid (3 days/week in-office)</li><li>
Schedule: 3 days per week in-office in accordance with Uncommon Schools policy</li><li>
On-call availability: You'll be on-call for data infrastructure emergencies</li><li>
Potential after-hours work: Data migrations, emergency pipeline fixes, and critical infrastructure maintenance may occasionally require work outside standard business hours</li><li>
Travel: Minimal travel, including quarterly school visits and routine local travel within the region</li><li>
Physical requirements: Minimal physical demands; role primarily involves sitting at a desk for extended periods</li></ul><p>
At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve-with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture.</p><p>
As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.</p></div>

Senior Developer, Data & IT - AI Solutions

Russell Tobin

<div>
 <p>
  <strong>
   Job Title: Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location: New York, NY 10281
  </strong>
 </p>
 <p>
  <strong>
   Type: Fulltime/Direct Hire
  </strong>
 </p>
 <p>
  <strong>
   Pay Range: $145,000 - $175,000
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Employees in this position will report to the office 2-3 days per week. Onsite work requirements may change at any time.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position summary:
  </strong>
 </p>
 <p>
  As a Data Engineer, you will work with a variety of data sets to design, prototype, and deploy analytical models, applications, and data visualizations for both internal users and customers. You will leverage your data engineering skills to transform raw data into analytical and statistical models, deriving meaningful insights and presenting business recommendations based on your results. You will collaborate with cross-functional teams, such as product, technology, operations and risk, to streamline data pipelines and to create automated solutions. You will use innovative technologies, including open-source software, AI and machine-learning libraries, and cloud-native analytics, to build scalable data platforms that automate and enhance the delivery of our new payment services.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree or the equivalent in a scientific or quantitative discipline, such as Mathematics, Engineering, Computer Science, Economics, or Physical Sciences
  </li>
  <li>
   5+ years of experience or equivalent in the data engineering/science field as a programmer, analyst, engineer or scientist.
  </li>
  <li>
   Hands-on development experience using programming languages, ideally Python, with statistical and data visualization libraries, such as pandas and matplotlib.
  </li>
  <li>
   Experience with data structures, algorithms and database query languages, such as SQL.
  </li>
  <li>
   Familiarity using git code repositories and interactive editors, such as Jupyter notebooks, Sublime or VS Code.
  </li>
  <li>
   Familiarity with cloud services for data management and analysis, such as AWS Glue
  </li>
  <li>
   Experience managing a variety of large-scale data sets on Linux, Windows or MacOS.
  </li>
  <li>
   Excellent writing and presentation skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desired Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Infrastructure as code using Terraform. Building and managing cloud infrastructure primarily AWS, writing reusable Terraform modules and collaborating with DevOps and development teams to support scalable, secure and automated deployments. Understanding of cloud services, version control(Git) and CI/CD practices is essential.
  </li>
  <li>
   Any graduate-level coursework or degree in a scientific or quantitative discipline, with original research work using statistical methods, analytic models, or quantitative techniques.
  </li>
  <li>
   Experience with machine learning concepts, algorithms, and tools, such as Amazon SageMaker
  </li>
  <li>
   Experience building data visualizations with business intelligence tools, such as AWS QuickSight or Tableau
  </li>
  <li>
   Experience developing Web applications with Java, Typescript and/or front-end UI frameworks, such as React, ideally leveraging real-time streaming events from Kafka or Amazon Kinesis
  </li>
  <li>
   An enthusiasm to learn and to teach others
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential functions and responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   As a member of the Innovation and Strategy team, you'll work with other technology teams, such as Enterprise Architecture and Application Development, as well as with Product Management and other business teams, to develop and execute the firm's data strategy.
  </li>
  <li>
   As a data engineer, you will leverage cloud-based services and other analytic tools to prototype and build applications and data visualizations that other employees, managers and customers will rely on to make more informed business decisions
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits Info
  </strong>
  : Russell Tobin/Pride Global offers eligible employee&rsquo;s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life &amp; disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
 </p>
 <p>
 </p>
</div>


Data Engineer

Akkodis Group Nordics

<div>
 Akkodis is seeking a
 <strong>
  Data Engineer
 </strong>
 for a
 <strong>
  Contract
 </strong>
 with a client in
 <strong>
  New York, NY.
 </strong>
 The ideal candidate will build and optimize end‑to‑end data pipelines and ensure high‑quality ETL processes through rigorous testing, validation, and performance monitoring.
 <br/>
 <br/>
 <strong>
  Rate Range:
 </strong>
 $37/hour to $47/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
 <br/>
 <br/>
 <strong>
  Data Engineer Job Responsibilities Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable data pipelines and ETL workflows using Python, PySpark, and GCP services like Dataflow, Dataproc, and BigQuery.
  </li>
  <li>
   Extract, transform, and load large‑volume datasets from diverse sources while ensuring data quality, accuracy, and reliability through robust testing and validation.
  </li>
  <li>
   Implement and optimize data ingestion and transformation processes, including writing advanced SQL/BigQuery queries for performance‑efficient data modeling.
  </li>
  <li>
   Collaborate with data scientists, analysts, and cross‑functional teams to understand business requirements and deliver high‑quality data solutions.
  </li>
  <li>
   Manage the end‑to‑end data lifecycle&mdash;from ingestion to transformation, storage, archiving, and deletion&mdash;while adhering to cloud security and compliance standards.
  </li>
  <li>
   Utilize Git for version control, develop CI/CD pipelines with Jenkins, and troubleshoot/debug existing ETL workflows to enhance system performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, Data Engineering, or a related field.
  </li>
  <li>
   3&ndash;6 years of hands‑on experience as a Data Engineer or in a similar data‑focused engineering role.
  </li>
  <li>
   Proven expertise in building and optimizing large‑scale data pipelines using Python, PySpark, and GCP technologies (BigQuery, Dataflow, Dataproc).
  </li>
  <li>
   Strong understanding of ETL best practices with the ability to develop efficient, secure, and reliable data ingestion and transformation solutions.
   <br/>
   <br/>
  </li>
 </ul>
 If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
 <strong>
  Gopal.Gupta@
 </strong>
 <strong>
  akkodisgroup.com.
  <br/>
  <br/>
 </strong>
 <strong>
  Pay Details:
 </strong>
 $37.00 to $47.00 per hour
 <br/>
 <br/>
 Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
 <br/>
 <br/>
 Equal Opportunity Employer/Veterans/Disabled
 <br/>
 <br/>
 Military connected talent encouraged to apply
 <br/>
 <br/>
 To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
 <br/>
 <br/>
 <ul>
  <li>
   The California Fair Chance Act
  </li>
  <li>
   Los Angeles City Fair Chance Ordinance
  </li>
  <li>
   Los Angeles County Fair Chance Ordinance for Employers
  </li>
  <li>
   San Francisco Fair Chance Ordinance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Massachusetts Candidates Only:
 </strong>
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
</div>


itD Tech

<div><p>itD is seeking a <b>Data Engineer</b> to support the development and validation of next-generation wearable technologies by enabling scalable, high-quality data collection and analysis workflows. This role will contribute directly to device-testing initiatives by building and maintaining data pipelines, ensuring sensor data quality, and supporting research and product teams with reliable datasets and insights. The ideal candidate will bring experience in hardware-based data collection, data engineering, and scientific analysis, along with a track record of delivering reliable data infrastructure and actionable insights that improve product performance.</p>
<p><b>
Location:</b> Onsite &ndash; New York, NY (5 days per week)</p>
<p><b>
Duration</b>: 9 Months</p>
<p><b>
Pay Rate:</b> $64- $72 per hour, depending on experience.<br>
We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.<br>
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Design and execute data collection studies in collaboration with research and product teams to capture high-quality biosensor data.</li>
<li>Monitor and maintain the integrity and quality of large, multi-sensor datasets, implementing validation, cleaning, and quality monitoring processes.</li>
<li>Debug and troubleshoot firmware and software issues impacting data acquisition from hardware sensors.</li>
<li>Execute and optimize distributed compute workflows for large-scale dataset processing, metric computation, and analysis.</li>
<li>Build and maintain benchmarking tools and frameworks to evaluate model performance across large datasets.</li>
<li>Analyze experimental results, generate hypotheses, and interpret findings to support product and research decisions.</li>
<li>Create data visualizations and summaries to communicate data quality, experiment outcomes, and insights to cross-functional teams.</li>
</ul>
<p><b>Internal Responsibilities</b></p>
<ul>
<li>Attend regular internal practice community meetings.</li>
<li>Collaborate with your itD practice team on industry thought leadership.</li>
<li>Complete client case studies and learning material (blogs, media material).</li>
<li>Build out material to contribute to the Digital Transformation practice.</li>
<li>Attend internal itD networking events (in person and virtual).</li>
<li>Work with leadership on career fast-track opportunities.</li>
</ul>
<p><b>Required Qualifications and Skills</b></p>
<ul>
<li>2+ years of experience with <b>Python</b> for data extraction, manipulation, and analysis.</li>
<li>Experience with <b>SQL</b> for querying and managing datasets.</li>
<li>Experience working with <b>hardware sensor data</b> and data collection systems (e.g., IMU, EMG, optical sensors, or similar).</li>
<li>Strong debugging and troubleshooting skills across software and hardware interfaces related to data acquisition.</li>
<li>Experience managing and analyzing <b>large, high-dimensional datasets</b>.</li>
<li>Experience with <b>scientific computing libraries</b> such as NumPy, SciPy, or Pandas.</li>
<li>Experience creating data visualizations using tools such as Matplotlib, Seaborn, or similar libraries.</li>
</ul>
<p><b>Preferred Qualifications and Skills</b></p>
<ul>
<li>Experience with <b>signal processing</b>, particularly time-domain signals such as EMG or IMU.</li>
<li>Experience building tools or interfaces using <b>JavaScript or TypeScript</b>.</li>
<li>Additional hands-on engineering experience supporting hardware-software data pipelines.</li>
<li>Experience supporting experimental data collection or research-driven engineering environments.</li>
</ul>
<p><b>Education</b></p>
<p>
Bachelor's or Master's degree in <b>Computer Science, Electrical Engineering, Statistics, Neuroscience, Biomedical Engineering, or a related field</b> is required.</p><div><p><b>
Company Description</b><br>
About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You'll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.</p>
<p>
The itD Digital Experience: Joining us means you'll be part of our global community, you have a say about your own career journey, and you'll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking &amp; career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you.</p>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information.</p>
<p><b>
Additional Info</b><br>
Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!</p></div></div>

Data Engineer (6093)

Verve for Advertisers

<div><p>Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens.</p>
<p>
As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.</p>
<p>
We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. <b>Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States.</b></p>
<p><b>
Responsibilities include</b></p>
<ul>
<li>Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients</li>
<li>Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities</li>
<li>Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients</li>
<li>Work with our Platform team to create monitoring which ensures data integrity</li>
<li>Experiment with new tech to find the right tool for the job</li>
<li>Use Kanban to manage multiple releases per week</li>
<li>Maintain high code quality through code reviews and automated tests</li>
</ul>
<p><b>Here are a few indicators that you're the right person</b></p>
<ul>
<li>You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks</li>
<li>You want to be part of a small team inside a large company with massive opportunity for growth</li>
<li>You enjoy collaboration with other teams including product, biz dev, and our in-house QA team</li>
<li>You eagerly dig into complex engineering problems</li>
</ul>
<p><b>Preferred skills and experience</b></p>
<ul>
<li>2+ years of relevant work experience</li>
<li>You have built customer&ndash;facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau</li>
<li>You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis</li>
<li>You've designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse</li>
<li>You've built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster</li>
<li>Familiarity with Google Cloud or AWS big data products</li>
</ul>
<p><b>Some company benefits include</b></p>
<ul>
<li>Competitive salary + performance bonuses</li>
<li>Health, dental, and vision insurance, plus mental health resources</li>
<li>401(k) match and generous PTO</li>
<li>Hybrid work environment (NYC office)</li>
<li>Free lunch for onsite team members in NYC</li>
<li>Volunteer Opportunities</li>
<li>Opportunities for professional development in a high-growth ad tech company</li>
</ul>
<p><b>Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week.</b></p>
<p>
Salary Range: $80,000 - $100,000</p>
<p>
We're open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.</p></div>

Anthropic

<div>
 <strong>
  <strong>
   About Anthropic
   <br/>
   <br/>
  </strong>
 </strong>
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company&rsquo;s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You&rsquo;ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
 <br/>
 <br/>
 <strong>
  <strong>
   Core Responsibilities
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Define key metrics, build measurement frameworks, and maintain core reporting to evaluate success
  </li>
  <li>
   Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations
  </li>
  <li>
   Develop hypotheses, apply rigorous causal inference methods &ndash; controlled experiments, synthetic controls &ndash; and analyze the results in order make actionable recommendations
  </li>
  <li>
   Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
  </li>
  <li>
   Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
  </li>
  <li>
   Present complex analyses and recommendations to both technical and non-technical stakeholders
  </li>
  <li>
   Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You May Be a Good Fit If You Have:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   5+ years of experience in data science or analytics roles
  </li>
  <li>
   Deep expertise with Python, SQL, and data visualization tools
  </li>
  <li>
   Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
  </li>
  <li>
   Highly effective written communication and presentation skills
  </li>
  <li>
   A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
  </li>
  <li>
   A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
  </li>
  <li>
   A passion for the company&rsquo;s mission of building helpful, honest, and harmless AI
  </li>
  <li>
   Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;re hiring across multiple pillars
 <br/>
 <br/>
 Applying for this role will allow you to be considered for all pillars currently hiring. You will be asked to select a preference when submitting an application.
 <br/>
 <br/>
 <strong>
  Platform Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will partner closely with product, engineering, and go-to-market teams to understand how developers and enterprise customers build on and adopt the Claude Developer Platform&mdash;spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll identify growth opportunities, surface insights about how AI agents are being built and deployed at scale, and drive data-informed decisions that shape our platform roadmap.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
  </li>
  <li>
   Experience supporting B2B sales teams with data insights
  </li>
  <li>
   Strong instincts for what drives product adoption, engagement, and retention
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Consumer Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Consumer product team. This team is responsible for building all consumer-facing Claude experiences&mdash;including web, mobile, desktop, and browser extensions. In this role, you'll shape how millions of users interact with Claude daily, driving product insights to product recommendations for interfaces that are intuitive, responsive, and push the boundaries of what AI-powered applications can be.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working closely with Product and Engineering teams on consumer products across multiple platforms (web, iOS, Android, desktop, browser extensions)
  </li>
  <li>
   Demonstrated impact on product roadmap and strategy from data deep dives in consumer growth, engagement and retention
  </li>
  <li>
   Expert in experimentation, holding a high statistical bar for measuring the impact of core product changes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Research Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with product, engineering, and research leaders to bring data-driven rigor to every phase of model development and launch. Sitting at the true bleeding edge of putting frontier AI research into the public domain, you will leverage data from both external customers and internal testing to define and measure key company success metrics, and analyze user and model behavior to identify new opportunities to push the frontier.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
  </li>
  <li>
   Comfort working with unstructured data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise &amp; Verticals Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Enterprise &amp; Verticals product team - this team is responsible for transforming the way businesses work, enabling enterprise users to know more, create more, and see more with Claude. You'll partner closely with product, engineering, design, sales, and customer success to understand enterprise customers and deliver data-driven insights to improve how Claude serves knowledge workers.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience evaluating new verticals and driving data insights to help the team find PMF for 0-&gt;1 bets
  </li>
  <li>
   Deep understanding over knowledge workers and experience partnering with product teams to build for the Enterprise
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Enterprise Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Claude Code product team to drive data-informed decision making as we scale this revolutionary developer tool to meet the needs of Enterprise businesses. Working at the intersection of AI capabilities research and product development, you'll help us understand how developers interact with AI coding assistants, measure the impact of our tool on developer productivity, and identify opportunities to enhance the developer experience.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep familiarity with software development workflows, developer tools, and engineering productivity metrics&mdash;ideally from working at developer-focused companies or on products targeting software engineers
  </li>
  <li>
   Experience analyzing human-AI interaction patterns, particularly in code generation or developer tooling contexts
  </li>
  <li>
   Experience supporting product teams building for the Enterprise
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise Marketing Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we introduce Claude to Enterprise businesses.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience working at multi-segment, multi-product B2B companies serving Enterprise customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Marketing Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we bring Claude Code to the world.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience building, selling or marketing developer tools
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  GTM Data Scientist
  <br/>
  <br/>
 </strong>
 This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn messy, high-stakes commercial data into actionable strategy. You will play a crucial role in driving data-informed decisions across the commercial customer lifecycle&mdash;from new logo acquisition through activation, expansion, and retention&mdash;for a rapidly scaling consumption-based AI platform.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Infrastructure Data Scientist
  <br/>
  <br/>
 </strong>
 You'll be at the intersection of data science and infrastructure, using rigorous analysis to understand how platform performance impacts user behavior and identifying high-impact opportunities to improve our systems' reliability and responsiveness. You'll quantify user sensitivity to latency, reliability, errors, and refusal rates, then translate these insights into actionable recommendations that drive meaningful improvements to our platform infrastructure.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with distributed systems and performance engineering, ideally in ML infrastructure contexts (model serving, inference latency, large-scale system metrics)
  </li>
  <li>
   Familiarity with SRE practices, error budgets, SLOs/SLIs, observability tools, APM systems, and infrastructure monitoring platforms (e.g., Prometheus, Grafana, DataDog)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Developer Productivity Data Scientist
  <br/>
  <br/>
 </strong>
 This role sits at the intersection of data science, developer experience, and AI tooling &mdash; and offers the rare opportunity to study frontier AI usage from the inside, with the builders themselves as your users. You'll define how Anthropic understands and improves developer productivity &mdash; both through classic software engineering effectiveness measures and through the emerging challenge of understanding AI-augmented development workflows. You'll own the quantitative foundation for how Anthropic's engineers build: what slows them down, what accelerates them, where tooling investments pay off, and how AI-assisted development is changing the shape of engineering work. Your analyses will directly inform infrastructure priorities, tooling roadmaps, and how we think about scaling engineering output as Anthropic grows.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct experience working with developer productivity, infrastructure, performance, or platform teams in hypergrowth environments
  </li>
  <li>
   Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics
   <br/>
   <br/>
  </li>
 </ul>
 The annual compensation range for this role is listed below.
 <br/>
 <br/>
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 <br/>
 <br/>
 <strong>
  Annual Salary:
  <br/>
  <br/>
 </strong>
 $275,000&mdash;$370,000 USD
 <br/>
 <br/>
 <strong>
  Logistics
  <br/>
  <br/>
 </strong>
 <strong>
  Education requirements:
 </strong>
 We require at least a Bachelor's degree in a related field or equivalent experience.
 <br/>
 <br/>
 <strong>
  Location-based hybrid policy:
 </strong>
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 <br/>
 <br/>
 <strong>
  Visa sponsorship:
 </strong>
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 <br/>
 <br/>
 <strong>
  We encourage you to apply even if you do not believe you meet every single qualification.
 </strong>
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 <br/>
 <br/>
 <strong>
  Your safety matters to us.
 </strong>
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 <br/>
 <br/>
 <strong>
  <strong>
   How We're Different
   <br/>
   <br/>
  </strong>
 </strong>
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 <br/>
 <br/>
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 <br/>
 <br/>
 <strong>
  Come work with us!
  <br/>
  <br/>
 </strong>
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 <strong>
  Guidance on Candidates' AI Usage:
 </strong>
 Learn about our policy for using AI in our application process
</div>


Data Scientist

Capgemini

<div><div><div><p>New York</p><div>
Data Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
Job Location - Smithfield, RI (Day One Onesite - Hybrid)</div></div></div><div></div><div><div><div>
About The Role</div></div><div><ul><li>
The Software Engineering team is seeking a highly skilled Data Engineer.</li><li>
This role involves the analysis data modeling ETL and ingestion of data along with the opportunity to analyze and draw key insights from collected data.The ideal candidate will have strong experience with SQL Managed Instances in cloud as well as a solid understanding of modern data engineering best practices and experience in Agile software delivery</li><li>
You will be responsible for designing developing and maintaining robust data pipelines and solutions for the provision of data and insights to critical applications across multiple areas of the organization.</li><li>
Additionally you will help define implement and advance data engineering practices standards and strategies contributing to the progression of modern engineering practice across our platforms and teams</li></ul></div></div><div><div><div>
Key Responsibilities</div></div><div><ul><li>
Design develop and maintain high quality data pipelines and solutions for core applications</li><li>
Perform comprehensive data analysis and modeling to support business requirements</li><li>
Develop and maintain ETL processes for efficient data ingestion and transformation experience with SnapLogic would be a plus</li><li>
Ensure the performance security and scalability of data solutions</li><li>
Collaborate with data scientists analysts and other stakeholders to define design and implement data solutions</li><li>
Participate in code and design reviews to maintain high data engineering standards</li><li>
Contribute to the continuous improvement of data engineering practices standards and strategies</li><li>
Implement and maintain CICD pipelines to ensure smooth and efficient data ingestions and delivery</li><li>
Work closely with product owners technical leads and architects to influence technical improvements</li></ul></div></div><div><div><div>
Required Expertise</div></div><div><ul><li>
Passion for data engineering and a commitment to excellence</li><li>
Degree in Computer Science Data Engineering Information Technology or equivalent</li><li>
Minimum of 4 years of enterprise data engineering experience and advanced knowledge of data architecture and database technologies</li><li>
Strong experience with MS SQL understanding of SQL MI in Azure cloud a plus</li><li>
Proficiency in data analysis data modelling and ETL processes</li><li>
Familiarity with data warehousing concepts and technologies</li><li>
Experience working in a CICD environment with tools like Git SCM Jenkins and Docker</li><li>
Familiarity with Agile practices and experience delivering data solutions in an Agile environment</li></ul></div></div><div><div><div>
Skills and Attributes</div></div><div><ul><li>
Excellent analytical problem solving communication and organizational skills</li><li>
Ability to prioritize and manage multiple data related tasks simultaneously</li><li>
Strong team player with a collaborative and positive attitude</li><li>
Ability to work independently under general direction</li><li>
Commitment to quality and adherence to data engineering best practices</li></ul></div></div><div><div><div>
Life At Capgemini</div></div><div><p>
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
</p><ul><li>Flexible work
</li><li>Healthcare including dental, vision, mental health, and well-being programs</li><li>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan</li><li>
Paid time off and paid holidays
</li><li>Paid parental leave</li><li>
Family building benefits like adoption assistance, surrogacy, and cryopreservation</li><li>
Social well-being benefits like subsidized back-up child/elder care and tutoring</li><li>
Mentoring, coaching and learning programs</li><li>
Employee Resource Groups
</li><li>Disaster Relief</li></ul></div></div><div><div><div>
Disclaimer</div></div><div><p>
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.<br>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.<br>
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p></div></div><div><div><div><br>
Salary Transparency</div></div><div><p>
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.
<br>
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.<br>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</p><p>
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.
<br>
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.<br>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</p></div></div></div><p>
The base compensation range for this role in the posted location is:$80420 to $106050</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
434583-en_US</div></div><div><div>
Posted on</div><div>
10 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

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