Data Scientist - Sr Associate

JPMorgan Chase & Co.•Plano, TX

About The Position

The Data Scientist Data Product Owner oversees data science initiatives, coordinates cross-functional teams, and defines technical requirements to support business data needs. The role combines advanced analytics expertise with project management and stakeholder engagement to deliver actionable insights and scalable data solutions. It supports personalization product capabilities and advanced analytics outcomes, including customer insights and improved offer engagement, by securing and organizing data into accessible business-facing products. The position also manages the personalization data roadmap and leads discovery and requirements work for new initiatives.

Requirements

  • Bachelor’s and master’s degrees in a quantitative discipline, such as Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a related field.
  • At least 5 years of experience applying statistical methods to real-world problems.
  • Strong SQL experience, including merging data from various sources.
  • Experience with data visualization techniques for analysis and presentation.
  • Experience with web analytics tools such as Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, or CoreMetrics.
  • Superior written, oral communication, and presentation skills, including the ability to communicate concisely and effectively with all levels of management and partners.

Nice To Haves

  • Marketing, originations, and/or sales analytics experience.
  • Knowledge of data governance and compliance standards.

Responsibilities

  • Partner with Product Owners, Data Scientists, Analysts, and Tech Leads to identify and secure data for personalization product capabilities and advanced analytics outcomes, including customer insights and enhanced offer engagement.
  • Develop analyst-friendly data products that provide accessible business insights.
  • Conduct descriptive, diagnostic, and inferential analyses to uncover trends, patterns, and actionable business insights, collaborating across teams to increase business value.
  • Manage the personalization data roadmap, including backlog, requirements, and prioritization, to support strategic objectives.
  • Lead discovery efforts for new initiatives and determine and refine business and customer value propositions.
  • Work with technology partners to evaluate technical feasibility and data availability for new projects.
  • Refine and prioritize user stories to align with consumer experience requirements and business goals.

Benefits

  • Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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