[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Microsoft jobs](https://jobs.opennash.com/companies/microsoft/) · [Search jobs](/search/) Microsoft # Senior Data & Applied Scientist United States, Washington, Redmond Senior individual contributor Data & Analytics Listed on Microsoft’s official careers site. Posted August 19, 2026. Check that it is still open and apply there. [Apply on Microsoft’s careers site →](https://apply.careers.microsoft.com/careers/job/1970393556972760) [OpenNash Jobs](https://jobs.opennash.com/) / [Microsoft](https://jobs.opennash.com/companies/microsoft/) / Senior Data & Applied Scientist ## Job description Own complex data science engagements by translating ambiguous legal, knowledge-management, and regulatory problems into clear objectives, project plans, measurable success criteria, and roadmaps that improve outcomes over time. Acquire, assess, and prepare structured and unstructured data from communications, documents, matters, regulatory sources, and operational systems; identify data-quality, integrity, privacy, security, bias, and ethical risks; and establish reliable data foundations for AI. Design, develop, and evaluate statistical, machine learning, and generative AI approaches for classification, routing, retrieval, summarization, knowledge drafting, metadata extraction, regulatory monitoring, requirements extraction, and impact analysis. Write efficient, readable, extensible, production-quality analysis and software code; diagnose complex issues; prototype and operationalize scalable solutions; and partner with engineering teams on deployment, monitoring, maintenance, and continuous improvement. Define evaluation metrics and human-review workflows that connect technical performance to accuracy, consistency, traceability, adoption, capacity returned, and business value, while ensuring that legal and regulatory judgment remains with accountable experts. Build trusted partnerships with legal professionals, policy experts, engineers, researchers, and business stakeholders; influence decisions through clear narratives and visualizations; mentor less experienced practitioners; and establish responsible AI, data, and engineering best practices across the team. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 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. ## At a glance - Posted by the employer: Aug 19, 2026 - First seen by OpenNash: Aug 21, 2026 - Last checked: Oct 18, 2026 - Listed for: 60 days - Location: United States, Washington, Redmond[Apply on Microsoft’s careers site →](https://apply.careers.microsoft.com/careers/job/1970393556972760) ## More jobs at Microsoft ### [Data Analyst, People Analytics](https://jobs.opennash.com/companies/microsoft/jobs/933ba4657e2062227132/) United States, Washington, Redmond ### [Data Engineer II](https://jobs.opennash.com/companies/microsoft/jobs/21bfc2cfd1f928a08a73/) United States, Washington, Redmond ### [Data Science: PhD Internship Opportunities - Redmond](https://jobs.opennash.com/companies/microsoft/jobs/12f03404c2592d441a00/) United States, Washington, Redmond ### [Data Scientist II, M365 Copilot](https://jobs.opennash.com/companies/microsoft/jobs/2f7c92f7b8c220816cab/) United States, Washington, Redmond ### [Finance Director, Data Center and AI Innovation](https://jobs.opennash.com/companies/microsoft/jobs/049ebcfbec19e73de34b/) United States, Washington, Redmond ## Similar jobs at other companies ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Applied AI & Data Product Scientist](https://jobs.opennash.com/companies/jpmorganchase/jobs/7c0cf34c8d811fa9fe22/) JPMorganChase · Jersey City, NJ, United States ### [Lead Applied Data Scientist - Recommendations (Contextual Bandits, Reinforcement Learning)](https://jobs.opennash.com/companies/target/jobs/67b821e969699f715f95/) Target · Minneapolis, MN ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota [Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)