Data Scientist – Process Intelligence Analytics

Join the Process Intelligence team at JPMorgan Chase to investigate how people, processes, and technology shape work. We start with the decision leaders need to make, then use relevant evidence to test assumptions and identify improvements that benefit employees, customers, and the business.

As a Data Scientist at JPMorgan Chase, you will work with business partners, researchers, engineers, and senior team members to turn business questions into analytical studies. Using Python, SQL, and statistical methods, with machine learning where appropriate, you will combine data with operational context and communicate what the evidence supports and what remains uncertain.

Job Responsibilities:

• Clarify the business decision, question, and assumptions with stakeholders and senior team members before selecting data or methods.
• Assess data relevance, quality, and limitations, and recommend additional evidence or methods when needed.
• Prepare and integrate data from task mining, process mining, operational records, surveys, and interviews, within approved access.
• Apply statistical methods, and machine learning where appropriate, in reproducible analyses suited to the question.
• Identify variation, workarounds, rework, and overlooked effort, and test competing explanations.
• Explore unexpected patterns and refine questions as findings emerge.
• Avoid treating activity data as a direct measure of effort or performance, or associations as causes.
• Communicate findings as clear recommendations tied to decision options, uncertainty, and next steps.
• Analyze work systems at an aggregate level, following privacy and responsible-use requirements, rather than rating individual employees.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Economics, Industrial-Organizational Psychology, Industrial Engineering, or a related field, with quantitative training such as econometrics or research methods.
• 1–3 years of experience in data science or applied research.
• Ability to turn an ambiguous business question into an analysis plan and justify the data and methods chosen.
• Sound judgment in assessing evidence quality, testing assumptions, and communicating uncertainty.
• Proficiency in Python, SQL, pandas, and scikit-learn.
• Knowledge of statistical methods such as regression, including their assumptions and limitations.
• Clear communication and collaboration with stakeholders across disciplines.

Preferred Qualifications, Capabilities, and Skills:

• Master’s degree in one of the fields above.
• Exposure to task mining, process mining, or workflow analysis.
• Experience designing or analyzing experiments or other evaluations of operational changes.
• Experience combining quantitative findings with qualitative data, such as interviews or surveys, and familiarity with measurement validity, psychometrics, human factors, or organizational research.
• Developing experience using AI-powered analytics, workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes.
• Familiarity with Tableau or Power BI and cloud data tools such as Snowflake, Spark, or AWS.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans