- Location
- Boston, New York City, San Francisco, Washington D.C., London · Boston · New York · San Francisco · Washington DC
- Department
- Education
Description
Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York City, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.
About the Strategic Data Scientist Role
As a Strategic Data Scientist at Keystone, you will design and deploy analytical models, machine learning systems, and investigative workflows that support expert testimony, litigation strategy, and regulatory advisory in areas such as AI, cybersecurity, and platform governance. Working alongside economists, fellow technologists and strategists, you’ll transform complex, often unstructured datasets (e.g., JSON, CSV, logs, scraped data) into defensible insights that drive decisions in high-impact cases involving antitrust, digital risk, and emerging technology regulation.
Key Responsibilities
- Work with an interdisciplinary team on litigation cases spanning AI, data analytics, digital risk, emerging technology governance, and regulatory compliance
- Build analytical models, investigative workflows, and technology assessments
- Build, test and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects
- Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability
What You’ll Bring
- Advanced graduate degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field
- 4+ years of relevant professional experience analyzing large volumes of qualitative and quantitively data (JSON, CSV) to support complex strategic initiatives
- Fluency in Python and SQL for data analysis
- Advanced knowledge of many core technologies and programming paradigms
- Specific domain expertise in a field such as AI/ML, Cybersecurity, Data Science, Distributed Computing, NLP, or Blockchain
- Desire to work in a fast-paced, self-directed entrepreneurial environment
- Analytical skills with a keen understanding of financial and operational levers
- Ability to manage multiple complex work streams and work across organizational boundaries
- Able to effectively communicate technical concepts across a wide range of audiences
- Team player who can collaborate with multiple functional areas
In addition to annual salary, we provide an annual discretionary bonus, 401k contribution, and competitive benefits package. Actual Compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.
At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone.
