Data Scientist Data Product Owner - Sr Associate

JPMorgan Chase & Co.•Jacksonville, FL

3d•$109,250 - $165,000

About The Position

The Data Scientist Data Product Owner is responsible for overseeing data science initiatives, coordinating cross-functional teams, and defining technical requirements to support business data needs. This role combines advanced analytics expertise with project management and stakeholder engagement to deliver actionable insights and scalable data solutions.

Requirements

Bachelor’s and Master’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
5+ years of experience in applying statistical methods to real world problems
Strong experience with SQL including merging data from various sources
Experience with visualization techniques for data analysis and presentation
Experience with web analytics tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners

Nice To Haves

Marketing, Originations, and or Sales analytics experience preferred.
Knowledge of data governance and compliance standards

Responsibilities

Partner with Product Owners, Data Scientists, Analysts, and Tech Leads to identify and secure data required for personalization product capabilities and advanced analytics outcomes, including customer insights and enhanced offer engagement.
Develop analyst friendly data products that provide easily accessible business insights
Deep dive into data with strong desire to understand “why” and drive increased business value by collaborating with cross-functional teams through descriptive, diagnostic, and inferential analyses to uncover trends, patterns, and actionable business insights.
Manage the personalization data roadmap, overseeing backlog, requirements, and prioritization to ensure effective delivery of strategic objectives.
Lead discovery efforts for new initiatives, determining and refining business and customer value propositions.
Work closely 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.