Staff Data Scientist

About Keystone AI

For more than two decades, Keystone AI 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 globally, we are redefining what a consulting firm can be.

Economic, Technology, and Strategy Advisory (ETSA)

Keystone's practices sit within our Economic, Technology, and Strategy Advisory (ETSA) group, which provides expert guidance across high-stakes business, legal, and technology challenges.

What we do

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

How we operate

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.

Who we serve

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

Our practice areas

• 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

Staff Data Scientist

As a Staff Data Scientist, you will be a senior member of the ETSA Technical Investigations practice, leading the design and application of advanced analytics and machine learning to high-impact client engagements. You will combine technical depth with business insight, guiding both the development of models and the interpretation of their results within complex regulatory and economic contexts.

Role Expectations

You will:

Lead the design and implementation of analytical solutions, from data architecture to model deployment

Apply statistical, econometric, and machine learning techniques to generate insights in areas such as AI risk, digital forensics, and competition analysis

Build, test, and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects

Collaborate with consultants, economists, and legal experts to translate technical findings into strategic recommendations

Serve as a technical advisor on engagements involving advanced data, AI, and digital transformation topics

Mentor and guide junior engineers and data scientists in best practices for modeling, code development, and experimental design

Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability

Engage in knowledge-building initiatives that strengthen Keystone's global AI and data science community

Qualifications

Advanced graduate degree (PhD or Master's) in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field

At least 6+ years of professional experience in data science, machine learning, or applied analytics roles

Deep understanding of AI/ML, NLP, and data science methodologies with experience applying them in real-world or regulated domains

Strong proficiency in Python, R, SQL, and familiarity with modern data science ecosystems (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API)

Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable data workflows (Airflow, dbt, Spark, BigQuery, Snowflake)

Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiences

Proven leadership in guiding diverse technical teams and driving innovation in data-driven problem solving

A balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment Why Keystone AI

Why Keystone AI

Join a fast-growing, tech-enabled consulting firm that partners with the world's leading companies on their most critical challenges and biggest opportunities.

• 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

Salary Range: Competitive with an annual discretionary bonus, pension 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 AI.