Card Analytics VP — Data Science & Strategy Lead

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is looking for a Data Scientist Lead in New York, NY, to drive data-driven decision-making within the Credit Card Decision Sciences Team. This role involves managing a team of experts, developing analytics strategies for Affluent Cards, and leveraging cutting-edge tools, including AI applications, to enhance business results.

The candidate should have 7+ years of experience in advanced analytics and a Bachelor's degree in a quantitative discipline, showcasing strong data science skills and excellent stakeholder management.

Qualifications

• 7+ years of experience in advanced analytics emphasizing marketing strategies and financial products.
• Ability to leverage data visualization tools for performance evaluation.
• Proficiency in Python and SQL.

Responsibilities

• Manage a team of Data Scientists and drive analytics strategy.
• Develop a test and learn agenda to drive decisions.
• Segment customers to identify growth opportunities.
• Collaborate with product teams for business objectives.
• Communicate analysis results to management.
• Drive campaign design and strategy formulation.
• Leverage analytics tooling to improve insight delivery.
• Influence and manage senior stakeholders.

Skills

Data visualization tools (Tableau)

Python

SQL

Stakeholder management

Experimental design

Data analysis

Education

Bachelor's degree in a quantitative discipline

Tools

Snowflake

Job description

JPMorgan Chase & Co. is looking for a Data Scientist Lead in New York, NY, to drive data-driven decision-making within the Credit Card Decision Sciences Team. This role involves managing a team of experts, developing analytics strategies for Affluent Cards, and leveraging cutting-edge tools, including AI applications, to enhance business results.

The candidate should have 7+ years of experience in advanced analytics and a Bachelor's degree in a quantitative discipline, showcasing strong data science skills and excellent stakeholder management.