Microsoft
Senior Data & Applied Scientist
$120K–$261K
Redmond, WA · On-site · Senior · Full-time · Posted Aug 19, 2026
- Experience
- Required: 1+ year with a doctorate, 3+ years with a master’s, or 5+ years with a bachelor’s; or equivalent experience. Preferred: 3+ years with a doctorate, 6+ years with a master’s, or 8+ years with a bachelor’s; or equivalent experience.
- Education
- Doctorate, master’s, or bachelor’s in a listed or related field, or equivalent experience.
About the job
Applies data science, machine learning, and AI to build knowledge-management and regulatory-intelligence capabilities for Microsoft’s legal and regulatory professionals.
What you'll do
- Frame complex problems and lead data science engagements, project plans, roadmaps, and measurable evaluations.
- Prepare data and develop, evaluate, and operationalize AI solutions for knowledge management, regulatory monitoring, and impact analysis.
- Partner with legal, policy, and engineering stakeholders on human-review workflows, responsible AI practices, and production deployment.
What they ask for
- Doctorate in a listed or related field plus 1+ year of data-science experience, OR master’s plus 3+ years, OR bachelor’s plus 5+ years, OR equivalent experience.
- Advanced knowledge of statistical analysis, experimentation, algorithms, machine learning, and AI.
- Experience managing 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 and defining quality and impact metrics.
Nice to have
- Doctorate plus 3+ years of data-science experience, OR master’s plus 6+ years, OR bachelor’s plus 8+ years, OR equivalent experience.
- Demonstrated ability to lead complex projects and collaborate across legal, policy, research, product, and engineering disciplines.
Pay
USD $119,800 - $234,700 per year (base pay); USD $160,200 - $261,000 per year (base pay)
Tools
SQL, Python, R, machine learning, generative AI, retrieval, natural language processing, large language models
AI focus
Build AI-enabled knowledge management and regulatory intelligence, including search, summarization, drafting, extraction, regulatory-change monitoring, and impact analysis, with human review and accountable expert judgment.
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