Data Scientist Senior Associate
About the role
As a Data Scientist Sr. Associate within the Consumer Bank Marketing Analytics team, you will develop and execute analytical plans to understand drivers of deposit portfolio growth, from account opening to attrition. Your insights will be crucial in guiding strategic decisions and investments, impacting the broader organization.
Responsibilities
- Lead analytics strategy and execution for Consumer Bank new account performance reporting
- Interpret results and present findings to stakeholders and senior management, including the CMO
- Conduct unstructured, ad hoc analyses of customer behavior and engagement
- Execute A/B and incrementality test readouts, including interpretation and recommendations
- Translate results into clear narratives and present insights to stakeholders and senior management
- Contribute to innovation initiatives that advance analytics methods and scalability
- Maintain a rigorous controls environment to ensure accurate, timely, and reproducible results
Requirements
- Bachelor's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)
- 3+ years of experience applying statistical methods to real-world business problems
- 3+ years of experience using SQL and at least one of the following: SAS, Python, or R
- Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
- Experience using data visualization techniques for analysis and stakeholder-ready storytelling
- Hands-on experience with A/B and incrementality testing methodologies, including experimental design, significance evaluation, and translating results into business recommendations
- Experience with web analytics tools (e.g., Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
- Strong written and verbal communication and presentation skills, with experience communicating effectively across levels and partner groups
Preferred Qualifications
- Master's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)
- Intellectual curiosity and motivation to build deep subject matter expertise in a focus area
- Strategic thinking with an ability to stay anchored to measurable business goals
- Strong organization skills with the ability to prioritize multiple workstreams effectively
- Strong relationship-building skills and comfort partnering with key stakeholders
- Tableau preferred
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
Pay
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.
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.