Data Scientist - Sr Associate

JPMorganChase; Jacksonville (FL); Hybrid; USD 120,000 - 170,000; Full time

Job summary

JPMorganChase is seeking a Data Scientist Data Product Owner who will oversee data science initiatives, coordinate cross-functional teams, and define technical requirements to support business data needs. This role blends advanced analytics with project management to deliver scalable data solutions.

You will partner with Product Owners, Data Scientists, Analysts and Tech Leads to deliver personalized capabilities and actionable insights, shaping the data roadmap and driving measurable business

Qualifications

• Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
• 5+ years 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

Responsibilities

• Partner with Product Owners, Data Scientists, Analysts, and Tech Leads to identify and secure data for personalization and analytics
• Develop analyst-friendly data products that provide easily accessible business insights
• Deep dive into data to understand why and drive business value with descriptive, diagnostic, and inferential analyses
• Manage the personalization data roadmap, backlog, requirements, and prioritization
• Lead discovery efforts for new initiatives, refining business and customer value propositions
• Work with technology partners to evaluate feasibility and data availability for new projects
• Refine and prioritize user stories to align with consumer experience requirements and business goals

Skills

Statistical methods

SQL

Data visualization

Web analytics

Communication skills

Education

Bachelor's and Master's in quantitative disciplines

Job description

We're driven by curiosity, passion, optimism, and the belief that everybody can grow.

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.

Job 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.

Required Qualifications, Capabilities, And Skills

• 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

Preferred Qualifications, Capabilities, And Skills

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

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.