Customer Journey and Experimentation Team - Data Scientist Senior Associate

JPMorgan Chase & Co. • Columbus, OH

4h

About The Position

Join the team that is a key contributor in measuring and optimizing the ecosystem of customer-initiated activities that connects customer signals to banker interactions and business outcomes. As a Data Scientist Senior Associate, within the Customer Journey and Experimentation Team, you will focus on answering questions such as: what types of customer-initiated activities are driving the most value, how can we measure and optimize the performance of handraisers across channels, and how do we lay the groundwork for customer journey analysis and multi-touch attribution to prioritize our bankers' time effectively. 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. 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.

Requirements

• Bachelor's degree with 3+ years of experience in an analytics, data science, or business intelligence role, with demonstrated ability to work end-to-end from data extraction through insight delivery.
• Strong SQL skills with experience writing complex queries to pull, transform, and summarize large datasets across relational databases (Teradata experience preferred)
• Exposure to measurement and testing methodologies (e.g., A/B testing, incrementality measurement, test/learn frameworks) and familiarity with modern data platforms including Hadoop, AWS, or Snowflake
• Proficiency in Python for data manipulation, analysis, and automation
• High standards for work quality with meticulous attention to detail, ensuring accuracy and rigor across all analytical outputs and deliverables.
• Strong business intuition — demonstrated ability to think beyond raw data and understand the underlying business context, with a focus on practically solving real business problems
• Effective communication skills — ability to relay findings clearly and concisely to senior stakeholders and cross-functional partners from a variety of business functions, translating business requests into analytical strategies
• Experience with data visualization tools such as Tableau or similar platforms for building clean, actionable dashboards

Nice To Haves

• Knowledge of customer journey analytics, multi-touch attribution, or marketing analytics concepts.
• Interest in or experience with statistical and machine learning techniques and their practical business applications
• PySpark experience is a plus
• Financial services experience is a plus, but not required

Responsibilities

• Analyze the performance and value of customer activities to understand what customers are doing and the downstream business impact.
• Develop measurement frameworks and lay the analytical groundwork for customer journey analysis and multi-touch attribution by mapping touchpoints and building pipelines that connect customer signals to banker interactions and outcomes
• Support the development of data-driven strategies to help bankers focus their time on the highest-value customer interactions, analyzing patterns in customer-initiated activity to identify which customer signals are most predictive of meaningful engagement and conversion.
• Apply strong programming skills to extract, integrate, and transform data from diverse sources into cohesive analytical solutions that enable rigorous, data-driven decision-making
• Deliver clear, well-structured analyses, ad-hoc reporting, and presentations that translate technical findings into intuitive business language for senior stakeholders

Benefits

• competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• 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.
• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees