Data Scientist

Insight Global
Redmond, WA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Query Languages Decision Support Systems R (Programming Language) Information Retrieval Python (Programming Language) Knowledge Management Machine Learning Natural Language Processing SQL Databases Unstructured Data Large Language Models
+2 more
Information Technology Programming Languages

Job description

We are seeking a Senior Data & Applied Scientist to develop AI and machine learning solutions that help legal, regulatory, and compliance professionals manage knowledge, improve workflows, and respond to evolving regulatory requirements. This role focuses on building AI-enabled knowledge management, regulatory intelligence, search, summarization, decision support, and automation capabilities while ensuring solutions are secure, auditable, and aligned with responsible AI principles.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field and 1+ year of data science experience; or Master’s degree in one of these fields and 3+ years of data science experience; or Bachelor’s degree in one of these fields and 5+ years of data science experience; or equivalent experience.

Advanced knowledge of statistical analysis, experimentation, algorithms, machine learning, and AI, with experience selecting and applying methods appropriate to the problem, data, and desired outcome.

Experience managing, transforming, and analyzing structured and unstructured data and developing reproducible solutions using SQL or related query languages and Python, R, or another relevant programming language.

Experience developing, evaluating, or operationalizing scalable machine learning or AI systems, including retrieval, natural language processing, large language models, agentic workflows, and the definition of quality and impact metrics.

Demonstrated ability to own complex projects, make sound decisions amid ambiguity, collaborate across legal, policy, research, product, and engineering disciplines, manage competing constraints, and deliver high-quality results.

Excellent written, verbal, storytelling, and technical communication skills, with experience presenting findings to senior technical and non-technical stakeholders and mentoring other practitioners. octorate in a relevant field and 3+ years of data science experience; or Master’s degree and 6+ years of data science experience; or Bachelor’s degree and 8+ years of data science experience; or equivalent experience. Experience with enterprise knowledge management, legal or regulatory workflows, information retrieval, continuous monitoring, requirements extraction, responsible AI, and Microsoft’s AI and machine learning platforms is also preferred.

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