Data Scientist – Process Intelligence Analytics

JPMorgan Chase & Co. • Plano, TX

2h

About The Position

The Data Scientist will join JPMorgan Chase’s Process Intelligence team to investigate how people, processes, and technology shape work. The team begins with a decision leaders need to make, then uses evidence to test assumptions and identify improvements for employees, customers, and the business.

The role partners with business stakeholders, researchers, engineers, and senior team members to translate business questions into analytical studies. It uses Python, SQL, statistical methods, and machine learning where appropriate to combine data with operational context and communicate what the evidence supports, including remaining uncertainty. Analyses focus on work systems at an aggregate level and follow privacy and responsible-use requirements rather than rating individual employees.

Requirements

• 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.

Nice To Haves

• 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.

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, where appropriate, machine learning 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.

Benefits

• Competitive total rewards package, including base salary determined based on role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level