JPMorgan Data Scientist Lead 

United States, Delaware, Wilmington 

586926567

Job Responsibilities:

• Establish strong partnerships with our stakeholders across Card CX to align on and execute on the CX analytics roadmap
• Demonstrate strong analytical ability through understanding and implementation of various analytical and statistical techniques to answer high-priority business questions
• Coordinate and lead the execution of multiple Card CX analytics and data science initiatives, working closely with various analytics teams. Act as a project lead and contribute as an individual contributor where needed.
• Be a trusted advisor and thought leader by providing recommendations on analytics best practices, methods and tools for analytical work in order to identify most impactful opportunities for enhancing customer experiences
• Support recruiting and interviewing efforts to find and hire the best and diverse talent for Chase
• Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior

Required qualifications, capabilities and skills:

• Bachelor’s degree in relevant quantitative field required, advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields); advanced degree preferred (MS/PhD)
• 3+ years of hands on experience within marketing, finance, data science or risk analysis; experience evaluating complex business problems, data analysis and devising recommendations and analytics to solve those business problems.
• Experience in managing stakeholders and a proven track record of driving value for the business.
• Thought leader in analytics who can help our internal clients define their business problem, create solutions to address it, and deliver those solutions.
• Proficiency in, or relevant exposure to, the breadth of project management and analytics, including data engineering & infrastructure to higher order modeling, including ML/AI models and end-to-end delivery of analytical solutions.
• Experience across a broad range of modern analytics tools (e.g., Snowflake, SAS, SQL, Spark, Python, Tableau, Alteryx)
• Excellent communicator who is able to convey complex information in an understandable, compelling, and persuasive manner to non-technical clients and executives and junior data scientists.
• Intellectually curious and self–driven to understand business domains and their data.

qualifications, capabilities and skills:

• Understanding of the key drivers within the credit card P&L is preferred.
• Financial services background preferred, but not required.