Drive the future of data-driven decision making—join us to transform raw information into actionable insights that power business innovation. As a Data Scientist Lead on the Credit Card Decision Sciences Team, you will work in a highly collaborative environment with partners across Broader Card Data & Analytics, Product & Portfolio Strategy, Finance, and Marketing to drive customer engagement and have the opportunity to influence key critical business initiatives.
Your success in this role requires a strong foundation in experimental design and data analysis skills, coupled with a proven ability to translate insights into actionable recommendations. You will own the entire engagement: consultation, analysis development, and results presentation. You will need to excel at creative and strategic thinking, be self-motivated and intellectually curious, and ready to work in a fast-paced energetic environment, leverage AIT tools and drive innovation across the board.
Job Responsibilities
- Manage a team of 5+ highly skilled Data Scientists and Visualization experts and drive analytics strategy for Affluent Cards
- Develop a robust test and learn agenda, and synthesize large amounts of information to inform decisions in order to drive work forward
- Segment customers based on internal and external attributes to clearly identify opportunities for growth, drive targeting strategies and measure overall portfolio performance
- Collaborate with Rewards & Benefits and Chase brand product teams to develop MIS and presentations in support of business objectives
- Evaluate and develop business case analytics in support of rewards investments, UltimateRewards.com initiatives, and marketing campaigns
- Effectively communicate analysis results and recommendations to management
- Drive Campaign design, tracking and strategy formulation across branded and partner cards
- Leverage and evolve analytics tooling, including Snowflake and emerging artificial intelligence-enabled applications, to improve scale and speed of insight delivery
- Successfully influence, support, and manage senior stakeholder across a wide variety of organizations Required qualifications, capabilities, and skills
- Bachelor's degree in a quantitative discipline such as business, finance, economics, engineering, or mathematics
- 7+ years of experience producing advanced analytics work with an emphasis on analyzing marketing strategies, financial products, and credit cards
- Ability to effectively leverage data visualization tools (Tableau) for data exploration and marketing performance evaluation
- Proficiency in Python and SQL
- Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management
- Familiarity with cutting edge AI tools and ability to solve open ended technical problems with minimal guidance and supervision
- Excellent stakeholder management skills