Data Scientist Lead-Vice President

JPMorgan Chase & Co.•New York, NY
•$147,250 - $215,000

About The Position

The Center for Economic Intelligence (CEI) monitors, coordinates, and develops a holistic internal and external view of the financial well-being of consumers and businesses using JPMC and third-party data. The team aims to inform public perspectives on the economy and identify emerging trends and economic relationships. As a Data Scientist on the CEI team, you will drive end-to-end data science strategy and execution, including data curation, analytics, and modeling in collaboration with economic domain experts. You will use large language models to support code development, statistical analysis, visualization, and narrative development related to macroeconomic and financial data, using proprietary JPMC tools and platforms such as Snowflake, Databricks, and AWS.

Requirements

  • Degree in an applicable quantitative discipline.
  • At least 5 years of relevant professional experience.
  • Experience working with large, complex, and often unstructured datasets in applied research or real-world business contexts.
  • Strong programming skills in Python, SQL, Spark, and/or R.
  • Deep knowledge of statistics and data mining.
  • Proficiency leveraging generative AI tools to speed up and enhance analysis.
  • Ability to design and deliver analytical solutions with clear commercial impact, from selecting a methodology through implementation, validation, monitoring, and refinement.
  • Exceptional communication skills and ability to translate complex quantitative findings for technical and non-technical executive audiences.
  • Strong organizational skills and adaptability, with the ability to manage multiple projects in a fast-paced environment, work independently, and engage colleagues and managers for alignment and feedback.

Nice To Haves

  • Knowledge of AWS, Snowflake, and/or Databricks.
  • Experience in economics or the financial services industry.
  • Expertise leveraging econometric modeling tools and techniques.

Responsibilities

  • Plan and lead complex analytics projects from inception to delivery in partnership with data scientists, economists, product owners, and strategists.
  • Work with large, complex, and often unstructured datasets, transforming them into formats that enable meaningful analysis.
  • Design and implement statistical, machine learning, and generative AI-driven solutions to uncover patterns, test hypotheses, and generate forecasts.
  • Recognize and communicate meaningful data trends and patterns related to business health, supported by data.
  • Collaborate with economists, econometricians, and data scientists to explore emerging trends in income, spending, savings, and credit.
  • Use advanced analytical and econometric techniques to explain broader economic trends in detail.
  • Identify and validate data sources and data quality.
  • Contribute critical thinking in a fast-paced, competitive environment focused on attention to detail and results.
  • Develop and present insights through reports, visualizations, and presentations for technical and non-technical senior executive audiences.
  • Champion the use of LLM and GenAI throughout the role to drive efficiency and innovation and accelerate the organization’s strategic vision.

Benefits

  • Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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