Microsoft · 3 days ago
Data Scientist II
Redmond, WA
Full-time
Hybrid
Mid, Senior Level
$101K/yr - $199K/yr
3+ years expMicrosoft is seeking a Data Scientist II to shape their data strategy and drive innovation within the Outlook Data and AI Platform team. This role involves advancing data science capabilities, defining product analytics best practices, and mentoring peers to translate data insights into impactful business outcomes.
Application Performance ManagementArtificial Intelligence (AI)Business DevelopmentData ManagementDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Define and execute a long-term vision for data science, analytics, and evaluation frameworks
Shape the data flywheel by creating scalable measurement and feedback loops that continuously improve product performance and user experience
Influence product and business strategy by synthesizing data, insights, and emerging research into actionable recommendations for senior leadership
Lead large-scale, cross-functional programs for data-driven evaluation, experiment pipelines, and automated measurement systems
Build, scale, and promote a culture of data-informed decision making across engineering, product, and business teams
Manage, coach and mentor data scientists and analysts, fostering excellence in experimentation, analytics, and business impact
Design and implement advanced statistical and machine learning methods to measure product effectiveness and uncover actionable insights
Establish and champion product analytics best practices (e.g., metric design, funnel analysis, experiment setup, and decision frameworks)
Lead the design, execution, and analysis of A/B tests and other controlled experiments
Drive acquisition, management, and analysis of large-scale datasets to inform engineering and product innovation
Partner with engineers, designer, user researchers, and product managers to align data initiatives with product roadmaps and customer needs
Ensure seamless integration of evaluation and analytics into product workflows, from design through deployment
Serve as a trusted thought leader to executive stakeholders, communicating complex findings in a clear, actionable way
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
Advanced knowledge of probability, statistics, experimental design, and product analytics, with a strong track record in designing and leading A/B tests, funnel analysis, and metric frameworks
Proficiency in large-scale data management and analysis using tools such as SQL, Python, R, Spark, or similar technologies
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
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
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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
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