Data Scientist Associate Senior - Data Analytics Reporting Team

JPMorgan Chase & Co. • Plano, TX

5h

About The Position

If you are passionate about leveraging data science to drive innovation, measure impact, and transform business operations, you have found the right team.
As a Data Scientist Associate Senior within the Data Analytics Reporting Team, you will partner with diverse business and functional teams to deliver innovative, automated solutions that drive operational excellence across the organization. You will have the opportunity to research, experiment, and develop high-quality machine learning models, services, and platforms that create significant business value and support business transformation initiatives.
In this role, you will focus on advancing learning and intervention impact measurement capabilities, leveraging data science and analytics to assess program effectiveness, quantify intervention outcomes, and optimize content delivery. You will collaborate with cross-functional stakeholders to design and implement scalable measurement frameworks that generate actionable insights, return on investment, and support strategic decision-making. Join a dynamic team where your unique expertise will help shape a culture of excellence and drive collective success.

Requirements

• 5+ years of experience delivering data-driven problem solving or equivalent experience
• Demonstrated ability to gather and analyze complex data and develop accurate conclusions with sufficient business comprehension to understand risk implications
• Experience working on the development of predictive models and data insights
• Proven expertise in content and intervention measurement, including the creation and implementation of evaluation frameworks, impact assessments, and analytics to assess program effectiveness and return on investment.
• Strong data analysis and statistical skills, with proficiency in tools and programming languages such as Python, R, SQL, or similar, and experience with causal inference techniques.

Nice To Haves

• Advanced degree (Master's or Ph.D.) in learning and development, data science, instructional design, organizational psychology, statistics, behavioral economics, or a related field.
• Formal education or certification in learning and development, data analytics, instructional design, statistics, or a related field.
• 3+ years of applied experience in designing, developing, and measuring learning and development programs at scale, with demonstrated expertise in intervention impact measurement.

Responsibilities

• Contribute to the delivery of information, insights, and solutions that inform business strategies and decisions by making recommendations for managing more complex situations
• Evaluate information and processes for analysis and reporting purposes
• Validate hypotheses, mitigates risks, and optimizes solutions
• Contribute significantly to the development of predictive models and data insights
• Source and structures datasets to build graphical visualizations and programing decision-support dashboards, utilizing Intelligence Automation to help with operational efficiency, risk mitigation, and process optimization where strategic solutions are not feasible
• Collaborate on functional requirements from stakeholders and translates into technical and data requirements

Benefits

• 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.

What This Job Offers

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