Microsoft · 8 hours ago
Data Scientist (Applied AI / ML Engineering)
United States, Washington, Bellevue
Full-time
Hybrid
Mid, Senior Level
$101K/yr - $199K/yr
1+ years expMicrosoft is reimagining the marketing research discipline by building AI-powered tools that help researchers and data scientists move from question to insight faster. In this role as a Data Scientist, you will design, build, and operate AI-enabled applications on top of our marketing research data ecosystem, partnering closely with product, engineering, and research stakeholders.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Translate user and business needs into technical designs for AI-enabled features; write clear specs, define success metrics, and align on trade-offs with stakeholders
Design and build production services and application capabilities that integrate LLMs (prompting, tool use/agents, RAG, embeddings) with enterprise data
Implement end-to-end evaluation for features and iterate based on data, user feedback, and telemetry
Use proficient engineering judgment to choose the right approach for the moment (prototype/MVP vs. production), and define the “graduation” path: requirements, testing, evaluation, monitoring, and operational readiness
Own reliability in production: monitoring, alerting, incident response, performance optimization, and proactive risk mitigation
Build and maintain CI/CD, automated testing, and safe deployment practices for AI systems (including prompt/model configuration management where applicable)
Partner with Responsible AI, security, and privacy stakeholders to ensure solutions are compliant, trustworthy, and designed for real-world use
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., hands-on Python development, design and build production services and application capabilities that integrate LLMs, translate user and business needs into technical designs for AI-enabled features)
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., hands-on Python development, design and build production services and application capabilities that integrate LLMs, translate user and business needs into technical designs for AI-enabled features)
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., hands-on Python development, design and build production services and application capabilities that integrate LLMs, translate user and business needs into technical designs for AI-enabled features)
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., hands-on Python development, design and build production services and application capabilities that integrate LLMs, translate user and business needs into technical designs for AI-enabled features)
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., hands-on Python development, design and build production services and application capabilities that integrate LLMs, translate user and business needs into technical designs for AI-enabled features)
OR equivalent experience
Hands-on experience building LLM-enabled applications (prompting, tool use/agents, RAG, embeddings) and integrating them with real data sources
Proficient software engineering fundamentals: data structures, APIs/services, code quality, testing, and debugging in distributed systems
Proficiency in Python and at least one of: C#, Java, Go, or TypeScript/JavaScript; working knowledge of SQL
Ability to communicate clearly with cross-functional partners and make pragmatic trade-offs based on constraints, risk, and impact
Experience with Azure and applied AI tooling (e.g., Azure ML, Azure OpenAI / OpenAI, PromptFlow, Databricks, Microsoft Fabric) and production CI/CD pipelines
Experience designing LLM evaluation approaches (golden sets, human-in-the-loop review, A/B tests), and building telemetry/quality dashboards
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
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
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
Morningstar.com
2026-01-16
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