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Technical Strategist; Python fluency

Job in Washington, District of Columbia, 20022, USA
Listing for: Keystone
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Security
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Technical Strategist (Python fluency)

Technical Strategist (Python Fluency)

Keystone

Digest the nuance and completeness of the research and regulation that inform our clients. For more than two decades, Keystone 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 behaviour and regulation laws, and impacting society on a global scale, by leveraging the intersection of economics, technology, and business strategy to deliver transformativeושתideas.

As we rapidly онд expand, 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
  • Interest 's automatically extracted
  • Financial Economics, Tax, and Securities (FETS)
  • Intellectual Property (IP)
  • Information Strategy, Risk and Regulation (ISRR)
  • Þá
  • Healthcare andфиb>

    Life Sciences
  • Technical Investigations
  • Behavioral Insights
  • Strategy Consulting
Role Overview

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. You’ll be applying your technical expertise to help clients navigate complex, tech‑centric challenges. With fluency in Python and deep comfort across data structures, software systems, and algorithmic thinking, you’ll transform ambiguous problems into clear, defensible insights that shape the outcomes of major cases and decisions.

Role

Expectations
  • 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 pressure libraries and frameworks that enhance analytical consistency and scalability
Qualifications
  • Bachelor's and/or degree in Computer Science, Computer Engineering,_vk or a related field
  • 2+ years of professional experience with software development and data analysis using Python
  • 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 real‑world problems
  • Ability to manage multiple analytical work streams and communicate complex findings clearly to technical and non‑technical

    Posts audiences
  • Team player who can collaborate with multiple stakeholders and functional areas
Why…
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