Design, develop, test, and deploy AI and machine learning solutions for workforce challenges
Run statistical analyses, experiments, and model evaluations to produce recommendations
Contribute to model factories and evaluation frameworks
Apply agentic and evaluation-driven development approaches to speed up delivery
Translate business requirements into analytical solutions with measurable outcomes
From the employer’s posting
Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges
Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations
Contribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiency
Apply agentic, specification-driven, and evaluation-driven development approaches to accelerate solution delivery
Partner with business stakeholders to translate requirements into analytical solutions and measurable outcomes
Education & alternatives
Required Qualifications, Capabilities, and Skills:
- Bachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline
- Experience developing and deploying machine learning or AI solutions using modern tools and techniques
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Where the posting names them
- Experience with statistical analysis, experimentation, and model evaluation methodologies
- Proficiency in Python, SQL, and data science tooling used in enterprise environments
- Strong analytical, problem-solving, and communication skills
About 318,512 in 2025.Annual report (SEC Form 10-K)
Company
Listed as JPM.
Layoff notices
Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you have the opportunity to shape the future of workforce analytics and drive meaningful change. You’ll collaborate with talented colleagues, leverage cutting-edge tools, and contribute to a pioneering operating environment. We invest in your growth, offering hands-on experience and the chance to make a real difference. Your expertise will help us deliver faster, smarter solutions that empower our organization.
As an AI & Data Scientist in the HR Data & Analytics team, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams, and technologists to develop models, evaluate outcomes, and deliver AI-powered capabilities that support evidence-based workforce decisions. You will contribute to building an artificial-intelligence-native operating environment, focusing on model factories, evaluation frameworks, and agentic engineering tools. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.
Job Responsibilities:
Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges
Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations
Contribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiency
Apply agentic, specification-driven, and evaluation-driven development approaches to accelerate solution delivery
Partner with business stakeholders to translate requirements into analytical solutions and measurable outcomes
Collaborate with technology teams to build scalable, reliable, and secure analytics and AI products
Identify opportunities to reduce costs, improve controls, enhance employee experiences, and expand organizational capabilities through data-driven solutions
Support adoption of reusable methodologies, tools, and vendor capabilities where appropriate
Communicate findings and recommendations clearly to technical and non-technical audiences
Ensure adherence to all applicable risk, control, and governance requirements
Required Qualifications, Capabilities, and Skills:
Bachelor’s degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline
Experience developing and deploying machine learning or AI solutions using modern tools and techniques
Working knowledge of large language models, agentic frameworks, or generative AI technologies
Experience with statistical analysis, experimentation, and model evaluation methodologies
Proficiency in Python, SQL, and data science tooling used in enterprise environments
Strong analytical, problem-solving, and communication skills
Ability to manage multiple priorities and deliver results in a collaborative environment
Preferred Qualifications, Capabilities, and Skills:
Advanced degree in a quantitative discipline
Experience building automated machine learning or model evaluation workflows
Experience with AI, machine learning, or analytics solutions in a regulated environment
Familiarity with cloud-based data and analytics platforms
Experience collaborating across business, product, and technology teams