Strategic Data Scientist — AI, Analytics & Regulation

keystone group; Boston (MA); On-site; USD 120,000 - 198,000; Full time

Benefits offered by this job

Annual discretionary bonus

401(k) plan

Competitive benefits package

Job summary

Keystone is seeking a Strategic Data Scientist to design and deploy analytical models and machine learning systems that support expert testimony, litigation strategy, and regulatory advisory in AI, cybersecurity, and platform governance.

You will transform complex datasets into defensible insights that drive decisions in high-impact cases, collaborating with economists, technologists, and strategists to scale analytical pipelines across projects.

Qualifications

• Advanced graduate degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field.
• 4+ years of experience analyzing large volumes of qualitative and quantitative data (JSON, CSV) to support strategic initiatives.
• Fluency in Python and SQL for data analysis.
• Domain expertise in AI/ML, Cybersecurity, Data Science, NLP, or Blockchain.
• Ability to communicate complex concepts across diverse audiences and collaborate across teams.

Responsibilities

• Work with an interdisciplinary team on litigation cases spanning AI, data analytics, digital risk, and regulatory compliance.
• Build analytical models, investigative workflows, and technology assessments.
• Build, test and deploy ML models, LLMs, and analytical pipelines that scale across projects.
• Contribute to the development of internal tools, libraries, and frameworks for analytical consistency.

Skills

Python

SQL

AI/ML

Data Analysis

Education

Advanced graduate degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field

Job description

Keystone is seeking a Strategic Data Scientist to design and deploy analytical models and machine learning systems that support expert testimony, litigation strategy, and regulatory advisory in AI, cybersecurity, and platform governance.

You will transform complex datasets into defensible insights that drive decisions in high-impact cases, collaborating with economists, technologists, and strategists to scale analytical pipelines across projects.