Data Scientist Lead

JPMorganChase

JPMorganChase

Data Science

Columbus, OH, USA · Plano, TX, USA · Wilmington, DE, USA · New York, NY, USA

Posted on May 6, 2026

This is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm!!

You'll need to be a strategic, analytical thinker with enough networking skills to become a trusted advisor and thought leader in the marketing space. Along with leveraging your proficiency with modern data science and analytics tools (including the AI suites that can boost your productivity), you'll clearly and concisely articulate data needs, analytical findings, and process improvements in a way that senior leadership finds persuasive.

Job responsibilities

Joining our team means you sit in the engine that powers Chase with insights, inspires customer-centric innovation, and answers critical questions around our marketing. Working here means joining a collaborative, supportive team. We want your diverse perspective to help us innovate the next wave of analytical products and solutions for our business.

You’ll be working with marketing analytics teams across the organization to ensure that the entire firm can effectively and efficiently measure our marketing. This will involve:

  • Taking a leading role with peer analytics teams to understand and influence how marketing measures results (datasets, process, and methods)
  • Designing and prototyping key datasets that enable better measurement, including creating the business case and ensuring data quality.
  • Developing and promoting a deep understanding of how AI can streamline and enrich our measurement.
  • Working closely with peers to ensure the quality of your own work as well as the team’s.

Required qualifications, capabilities and skills

  • Undergraduate or advanced degree in analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, Physics), data bootcamp certification, or industry experience in analytical roles (e.g., consulting, modeling, data analysis).
  • Experience with modern data science tools (ex: SQL, AWS, Python), current AI tools (ex: Copilot, Claude), and familiarity with quantitative techniques (ex: regression analysis) – with an appetite for updating this list as new technologies and techniques arrive.
  • Expertise in the scientific method, able to frame a non-technical question as a testable hypothesis and articulate what can or cannot be statistically proven with current or potential data.
  • Able to address business challenges with practical and consultative solutions.
  • Attention to detail, able to spot and correct potential flaws in a dataset or analysis.
  • Strong work management skills, able to keep several projects on track simultaneously and persuasively communicate value of work to senior leaders.

Preferred qualifications, capabilities and skills

  • Financial services background.
  • Experience at a top tier analytics consulting firm is a benefit.
  • MBA or other master’s degree in a quantitative field.

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


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.

This is a unique opportunity to have meaningful impact on a large scale at a leading financial services firm. You'll need to be a strategic, analytical thinker with enough networking skills to become a trusted advisor and thought leader in the marketing space. Along with leveraging your proficiency with modern data science and analytics tools (including the AI suites that can boost your productivity), you'll clearly and concisely articulate data needs, analytical findings, and process improvements in a way that senior leadership finds persuasive.