Jobs at Keystone

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 Staff Data Scientist RoleAs 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 ResponsibilitiesLead the design and implementation of analytical solutions, from data architecture to model deploymentApply statistical, econometric, and machine learning techniques to generate insights in areas such as AI risk, digital forensics, and competition analysisBuild, test, and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projectsCollaborate with consultants, economists, and legal experts to translate technical findings into strategic recommendationsServe as a technical advisor on engagements involving advanced data, AI, and digital transformation topicsMentor and guide junior engineers and data scientists in best practices for modeling, code development, and experimental designContribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalabilityEngage in knowledge-building initiatives that strengthen Keystone’s global AI and data science communityWhat You'll BringAdvanced graduate degree (PhD or Master’s) in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical fieldAt least 6+ years of professional experience in data science, machine learning, or applied analytics rolesAt least 2 years experience working in the GCCDeep understanding of AI/ML, NLP, and data science methodologies with experience applying them in real-world or regulated domainsStrong 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 audiencesProven leadership in guiding diverse technical teams and driving innovation in data-driven problem solvingA balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment Why Keystone AI Salary Range: Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation 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.