Marketing Analytics Team - Data Scientist Lead

JPMorgan Chase & Co.
United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Business Analytics Applications Data Analysis R (Programming Language) Google Analytics Python (Programming Language) Omniture (Software) SAS (Software) SQL Databases Tableau (Software) Web Analytics GitHub Copilot Adobe
+3 more
Data Analytics Webtrends Coremetrics (Software)

Job description

Join a talented and diverse group of analysts driving strategy and innovation across Chase Consumer Bank using data-driven approaches.

As a Data Scientist Lead, with the Consumer Bank Marketing Analytics team you will be responsible for measuring the effectiveness and driving the strategy of Chase’s Consumer Bank marketing campaigns and focus on supporting the Public Offers Program, analyzing performance and informing optimal strategy for prospecting marketing campaigns that drive customer acquisition, relationship deepening, and long-term value for the Consumer Bank., * Own the analytics strategy, planning and execution for Refer a Friend Program marketing campaigns

  • Provide leadership and mentorship to junior data scientists across CB Marketing Analytics organization as a subject matter expert for referral program performance and customer referral behaviors
  • Consult on experimental design, data collection, and develop new strategies in collaboration with stakeholders and other Data & Analytics teams
  • Interpret results and present to stakeholders and senior management
  • Continuously lead innovation projects to drive more advanced analytics
  • Recruit and train talented data professionals from diverse backgrounds and maintain an inclusive team environment across CB Marketing Analytics and CB Test Design teams
  • Maintain a rigorous controls environment to ensure accurate and timely results

Requirements

  • 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 in Marketing analytics
  • 5+ years of experience with SQL and at least one of the following analytical tools: SAS, Python, R (Python preferred)
  • Demonstrated experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar AI coding assistants to accelerate analysis and code development
  • Experience with visualization techniques for data analysis and presentation, such as Tableau.
  • Experience with web analytics tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
  • Hands-on experience with A/B and incrementality testing methodologies, including experimental design, statistical significance evaluation, and translating test results into business recommendations.

Preferred qualifications, capabilities, and skills:

  • Intellectually curious and eager to become subject matter expert in their focus area
  • A strategic thinker with the ability to focus on business goals
  • Highly organized and able to prioritize multiple tasks
  • A strong communicator and able to build relationships with key stakeholders

Benefits & conditions

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.

About the company

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.

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