> Markdown version of [/jobs/ext/4704914-technical-strategist-python-fluency](https://www.wearedevelopers.com/jobs/ext/4704914-technical-strategist-python-fluency). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Strategist (Python fluency) - **Company:** Keystone, Inc. - **Location:** New York, NY, United States - **Salary:** $140,000 - $198,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Engineering, Data Structures, Python (Programming Language), Machine Learning, Large Language Models, Information Technology, Data Analytics, Programming Languages - **Published:** November 13, 2026 - **Apply:** https://www.adzuna.com/details/5963056535 ## About the Role * Bachelor's and/or Master's degree in Computer Science, Computer Engineering, or a related field * 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 workstreams and communicate complex findings clearly to technical and non-technical audiences * Team player who can collaborate with multiple stakeholders and functional areas ## Description * 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