JPMorganChase is hiring a Data Scientist to turn business questions into analytical studies for its Process Intelligence team. The role combines operational data, statistical methods, and machine learning where appropriate to identify process improvements and communicate evidence, uncertainty, and recommendations.
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
Qualification
Required
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
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
Benefits
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.
Based on eligibility: comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
JPMorganChase is a financial services company providing banking, investment, financial management, and related services. It is a sub-organization of PricingDirect.
