> Markdown version of [/jobs/ext/3723879-data-scientist-analyst](https://www.wearedevelopers.com/jobs/ext/3723879-data-scientist-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist Analyst

- **Company:** JPMorgan Chase & Co.
- **Location:** Washington, DC, United States
- **Salary:** $95,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, JIRA, Big Data, C++ (Programming Language), Collaborative Software, Computer Programming, Data Files, R (Programming Language), Python (Programming Language), SAS (Software), Scala (Programming Language), SQL Databases, Stata, Visual Analytics, Apache Spark, Git, Pyspark, Programming Languages
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8a865acf50ca112f

## About the Role

As a Data Scientist Analyst for the JPMorganChase Institute, you will conduct economic research using proprietary big data within JPMorganChase, under the direction of a Research Director, to deliver high-quality, rigorous analysis and insights. This role is ideal for individuals seeking to leverage a strong background in economics or another quantitative discipline, with experience in statistics, data analysis, and computer programming. It is also well-suited for those seeking to enhance their research skills and gain insights into economic analysis within a leading financial institution. An entrepreneurial and proactive mindset, along with strong communication skills, will be key to your success in this role., * Bachelor's degree in economics, public policy, statistics, or related field.

 * Experience working with big data sets.
 * Strong programming experience in a language commonly used in empirical research (e.g., Python, Stata, R, Scala, SQL, SAS, C++).
 * Strong written and verbal communication skills and experience conveying complex ideas in a team setting.
 * Strong sense of intellectual curiosity and desire to be directly involved in the public-oriented mission of the Institute.
 * Capacity to manage multiple priorities and work in a high-performance professional environment, with quick turn-around and changing priorities.
 * Commitment to intellectual rigor and observance of compliance and data privacy controls.

Preferred Qualifications, Capabilities, and Skills:

 * Graduate degree in economics, public policy, statistics, or related field is a plus.
 * Experience with big data computing on a public cloud platform (e.g. Spark, PySpark, and AWS) is a plus.
 * Experience working with technical collaboration tools (Git, Jira) is a plus.
 * Prior experience working with financial services or other administrative data sets is a plus.
 * Experience with quantitative research, especially methods used for causal inference, is a plus.

## Description

Join a team using proprietary data, expertise, and market access to help decision makers make informed economic decisions to advance prosperity for all., * Work alongside the Institute's research leaders, academic fellows, and internal thought-leaders to create cutting-edge analyses that add to both the public and academic discourse, using large data sets of de-identified banking records in combination with publicly available data.

 * Extract original insights from large panel data sets using big data programming languages on a public cloud platform and produce empirical insights and impactful visual analytics.
 * Gain and apply topic-specific knowledge in household finance and applied microeconomic topics.
 * Communicate analytical insights and be directly involved in the research process from ideation through final report editing.
 * Conduct literature reviews, edit and draft reports, and participate in a vibrant, collaborative research community.