Data Scientist, Senior Associate - Customer Analytics
JPMorgan Chase & Co.About the role
Join the Affluent, Core, and Emerging (ACE) Analytics team within the Consumer Bank Decision Sciences group where your analytical skills fuel innovation and drive real impact for our customers and business. Here, you’ll have the opportunity to grow your career, collaborate with talented colleagues, and work with advanced data and analytics tools. We value your curiosity and passion for learning, offering you the chance to expand your expertise and explore new career paths. Be part of a community that celebrates diverse perspectives and empowers you to make a difference.
Job Summary
As a Data Scientist on the ACE team, you will help shape strategies across marketing, sales, distribution, pricing, and customer analytics. You’ll use a variety of analytical techniques to measure effectiveness and drive future decisions, ensuring your work directly influences both our customers and the business. In this role, you’ll collaborate with partners across data governance, reporting, data science, and technology, all while contributing to a culture of innovation and continuous learning. Your insights will help us deliver value and protection for our customers, and you’ll have access to significant learning and mobility opportunities to support your career growth. Join us to make a meaningful impact and advance your professional journey.
Job Responsibilities
Develop complex analyses to drive business change in product performance, client engagement, attrition, and customer segmentation
Partner with product, finance, and cross-functional teams to deliver high-impact projects that shape strategy and deliver measurable results
Consult with business partners to understand analytical needs and provide actionable, data-driven recommendations
Present clear insights and recommendations directly to stakeholders, including regular opportunities to share findings and recommendations with senior executives
Solve unstructured business problems and perform deep-dive analyses of customer behavior using analytic, statistical, and machine learning techniques
Refine and implement the analytical learning agenda to support business objectives
Leverage internal data resources to construct analytical solutions for business challenges
Collaborate with technology, product, and business teams to deliver impactful solutions
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