Data Science Senior Associate - Onboarding & Engagement Marketing Analytics
Indexed description
Job Responsibilities-
- Translate unstructured business questions into rigorous customer behavior analyses—defining what “success” looks like for onboarding and engagement campaigns and building the measurement frameworks to prove it
- Lead A/B and incrementality testing—from experimental design through interpretation and recommendation
- Build and contribute to reusable data products—curated datasets, features, and pipelines—that power both analyst-led insights and emerging agentic AI solutions
- Identify gaps in how we measure, target, or engage customers today—and lead the work to close them
- Present findings and recommendations to stakeholders and senior management
- Partner with Data & Analytics teams and business stakeholders on experimental design and data strategy
Required Qualifications, Capabilities And Skills
- Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Engineering, Economics, Finance, or related field) OR equivalent directly applicable experience
- 3+ years applying statistical methods to real-world problems (marketing analytics experience preferred)
- 3+ years of SQL experience, proficiency in Python (preferred) or R, and experience with data visualization tools (Tableau preferred)
- Ability to independently troubleshoot and resolve technical, data, and analytical problems—digging into root causes rather than waiting for answers
- Comfort using AI tools (e.g., GitHub Copilot, Claude Code, Cortex) to accelerate day-to-day analytics work and as a thought partner for exploratory analysis, pressure-testing hypotheses, and rapid prototyping
- Strong written and verbal communication skills, with the ability to articulate results to all levels of management
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.
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