Technical Strategist – Data Privacy (Python fluency)

About the role

As a Technical Strategist at Keystone, you will be a core member of interdisciplinary teams tackling high-stakes litigation, regulatory, and strategic matters involving AI, data systems, digital risk, and emerging technologies with a specific focus on data privacy cases. You’ll be applying your technical expertise to help clients navigate complex, tech-centric challenges.

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
• Evaluate anonymization, de-identification, and privacy-enhancing technologies (e.g., differential privacy) in the context of litigation and regulatory review
• Assess privacy and security controls, including anonymization techniques and privacy-enhancing technologies (e.g., differential privacy), in the context of regulatory and litigation scrutiny
• Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability

Requirements

• Bachelor's and/or degree in Computer Science, Computer Engineering, or a related field, ideally with a focus in security or privacy
• 2+ years of professional experience developing secure software or security and privacy-related product features
• Driving technical quality and operational excellence by defining and reinforcing standards in testing, observability and system reliability
• Fluency in one or more other programming language in addition to Python
• Undergraduate level capability with data structures and algorithms
• A balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment
• Analytical skills with an ability to structure complex, ambiguous real-world problems
• Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiences
• Team player who can collaborate with multiple stakeholders and functional areas

Qualifications

• Fluency in Python
• Deep comfort across data structures, software systems, and algorithmic thinking

Skills

• Technical excellence
• Intellectual curiosity
• Entrepreneurial spirit
• Collaboration

Benefits

• Annual discretionary bonus
• 401k contribution
• Competitive benefits package