Data Scientist, Senior Associate

JPMorgan Chase & Co.•Columbus, OH

5h•$123,500 - $170,000

About The Position

Join the Affluent, Core, and Emerging (ACE) Analytics team within Consumer Bank Decision Sciences, supporting the Core customer segment. This role is ideal for someone who enjoys using data to answer strategic business questions, shape customer growth priorities, and influence decisions across product, marketing, pricing, distribution, and customer experience. As an Analyst supporting the Core pillar, you will turn customer and business data into insights that inform strategy for one of the Consumer Bank’s largest segments. You will evaluate customer behavior, engagement, retention, product usage, and segment economics to identify opportunities, frame trade-offs, and guide senior stakeholder decisions. Your work will connect analytics to business priorities and help shape disciplined growth across the Core segment.

Requirements

Hold a Master’s degree in a quantitative discipline or a Bachelor’s degree with three years of experience in a quantitative field such as Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance
Demonstrate three years of experience applying statistical and machine learning methods to real-world problems
Possess three years of experience with SQL and at least one analytical tool such as SAS, Python, or R
Show experience with data visualization techniques for analysis and presentations (Tableau)
Exhibit strong written, verbal, and presentation skills
Communicate concisely and effectively with partners and management at all levels
Work collaboratively in cross-functional teams
Solve complex, unstructured problems independently
Organize and prioritize multiple tasks efficiently
Demonstrate attention to detail and accuracy in all analyses
Maintain a commitment to continuous learning and professional development

Nice To Haves

Bring experience in financial services, consumer banking, strategy, consulting, or related industries
Show a proven track record of delivering actionable insights that inform strategy and drive measurable business outcomes
Demonstrate strong executive storytelling and deck-building skills, with the ability to simplify complex topics into decision-ready narratives
Think strategically with a data-led approach focused on customer needs, business goals, and disciplined growth
Display intellectual curiosity, sound business judgment, and comfort working through ambiguity
Build strong relationships with stakeholders and thrive in a fast-paced, collaborative environment

Responsibilities

Analyze Core customer behavior, engagement, retention, product usage, and segment economics to identify strategic opportunities
Translate complex data into clear insights, implications, recommendations, and executive-ready presentations for business leaders
Partner with product, marketing, finance, data science, technology, and governance teams to shape Core segment priorities
Frame business questions, evaluate trade-offs, and support decisions related to customer growth, engagement, and retention
Develop analytical learning agendas, deep dives, and measurement approaches that support strategic decision-making
Build clear, compelling decks that synthesize analysis, frame decisions, and communicate strategic recommendations
Use AI, statistics, machine learning, and visualization techniques to solve unstructured business problems
Ensure analyses and recommendations align with business goals, risk expectations, and compliance standards