Microsoft · 23 hours ago
AI Data Scientist
Microsoft is seeking a pioneering and technically fluent AI Data Scientist to join their AI & Data Science Tools team. This role will be instrumental in shaping AI-powered product development and involves the design, build, testing, and scaling management of inferencing AI tools powered by customer voice.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Insight Extraction from Inferencing Applications: Using python and gremlin to extract insightful information from the knowledge graph
AI Graph Building: Contribute to the design, development, and ongoing management of our knowledge graph architecture to support scalable AI solutions
Ownership of AI Tool Roadmap Portions: Own and evolve the product roadmap and ROB processes, ensuring alignment with strategic goals and technical feasibility
Cross-Functional Collaboration: Interface with developer teams, Research + Insights research managers, Marketing leadership, and partner data science teams to translate business needs into technical requirements
Technical Communication: Articulate complex technical concepts clearly to both engineering teams and executive stakeholders
Innovation & Execution: Build customer voice AI tools in a fast-paced, ambiguous environment with a focus on delivering high-impact AI tools
Embody our culture and values
Qualification
Required
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
OR Master's Degree 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 consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience
Preferred
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
Extensive experience with knowledge graph architecture and insight extraction
Proficiency in Python for building production services, including modular design, code readability, unit testing, and debugging
Demonstrated prowess in systems thinking to drive scale, sequencing work, surfacing risk, and driving hard prioritization decisions under uncertainty, including clear trade‑offs across scope, timing, and resourcing
Ability to synthesize complex, technical, and qualitative inputs into clear, repeatable, decision ready artifacts for senior leadership, translating insight into action
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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2025 (9192)
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2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
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