Strategic Data Scientist

Join to apply for the Strategic Data Scientist role at Keystone

For more than two decades, Keystone has been a premier, tech-forward strategy and economics consulting firm, helping leading technology companies, global brands, and top law firms solve their most complex challenges in competition, strategy, and regulation. Our founders believed that modern consulting should integrate economics, strategy, and technology to drive true digital transformation and business model innovation. That’s what we call our “Triad of Skills.”

Keystone brings this interdisciplinary approach to the forefront of influential technology cases, changing consumer behavior and regulation laws and impacting society on a global scale, by leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas. As we rapidly expand, we are redefining what a consulting firm can be.

ETSA leverages Keystone's connections with leading industry and academic experts to solve complex legal and regulatory issues and win high-stakes legal cases. Through our Centres of Excellence in Keystone Economics and Keystone Advanced Technology Services, we unite economists, technologists and management scientists to solve the hardest problems facing our clients.

Our tech-native, internal consultants bring unique insights and experience to evaluate and solve client issues. Our economic, industry, and tech experts carry out in-depth analysis, build robust data and technology solutions, and produce economic and technology reports that win cases.

Our ETSA group helps major law firms, Fortune Global 500 companies, leading technology companies, and government agencies.

• Antitrust & Competition
• Financial Economics, Tax, and Securities (FETS)
• Intellectual Property (IP)
• Information Strategy, Risk and Regulation (ISRR)
• Healthcare and Life Sciences
• Technical Investigations
• Behavioral Insights
• Strategy Consulting

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.

• 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

• Advanced graduate degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field
• 4+ years of relevant professional experience analysing large volumes of qualitative and quantitatively 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

• Work on frontier matters shaping the future of AI, data, and digital regulation
• Collaborate with leading academics and experts from institutions such as Harvard, Stanford, MIT, and Wharton
• Apply a unique blend of management science and computer science to real-world challenges across technology, litigation, policy, and strategy
• Thrive in a culture defined by collaboration, curiosity, and excellence - where your ideas have direct, tangible impact

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.

Annual Salary Range: $120,000—$198,000 USD

Mid-Senior level

Full-time

Engineering and Information Technology

Business Consulting and Services