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Keystone AI aims to solve complex challenges in competition, strategy, and regulation for leading technology companies, global brands, and top law firms by integrating economics, strategy, and technology to drive digital transformation and business model innovation.

Requirements

• 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 quantitative 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
• Analytical skills with a keen understanding of financial and operational levers
• Ability to manage multiple complex work streams and work across organizational boundaries

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
• Analyse large volumes of qualitative and quantitative data (JSON, CSV) to support complex strategic initiatives
• Apply a unique blend of management science and computer science to real-world challenges across technology, litigation, policy, and strategy
• Collaborate with leading academics and experts from institutions such as Harvard, Stanford, MIT, and Wharton

Other

• Desire to work in a fast-paced, self-directed entrepreneurial environment
• Able to effectively communicate technical concepts across a wide range of audiences
• Team player who can collaborate with multiple functional areas
• 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 quantitative data (JSON, CSV) to support complex strategic initiatives