Data Scientist Associate

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Consumer & Community Banking

Associate Data Scientist role at JPMorgan Chase supporting the Chase Auto sales organization. The role focuses on leveraging descriptive, predictive, and prescriptive analytics to drive business strategy and results, inform strategic decisions, and optimize performance through data-driven insights and reporting.

What you'd actually do

  1. Partner with Chase Auto and lines of business (LOBs) to deliver data-driven insights that support strategic growth in auto originations.
  2. Develop and refine reporting frameworks and KPIs to evaluate channel effectiveness and partnership performance.
  3. Conduct proactive, self-directed analysis of large, complex datasets by forming hypotheses, extracting insights, and communicating findings through clear data visualizations for diverse stakeholders.
  4. Shape and prioritize the analytics agenda to align with business strategy and maximize impact.

Skills

Required

  • SQL
  • Python
  • Tableau
  • Alteryx
  • data wrangling
  • integrating multiple data sources
  • aggregating large datasets
  • defining business KPIs
  • implementing measurement frameworks
  • analytical mindset
  • exploring results
  • uncovering actionable insights
  • communication skills
  • data storytelling
  • Master's degree or 2 years of experience

Nice to have

  • automotive or auto lending industry experience
  • AWS cloud services

What the JD emphasized

  • Master’s degree in a related field _or_ 2 years of relevant industry experience in data science or analytics
  • Proficiency in SQL and Python
  • Expertise in data wrangling, including integrating multiple data sources into cohesive datasets and aggregating large datasets for targeted analysis
  • Demonstrated ability to define business KPIs and implement effective measurement frameworks
  • Strong analytical mindset with a track record of exploring results and uncovering actionable insights
  • Excellent communication skills, with the ability to engage executives, business partners, and technical teams on analytics and data management topics
  • Strong data storytelling skills, translating analytical findings into clear, actionable narratives