Microsoft · 9 hours ago
Senior UX Data Scientist
United States
Full-time
Remote
Mid, Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft is a leading technology company focused on empowering every person and organization on the planet. As a Senior UX Data Scientist, you will utilize your data insight skills to influence impactful UX projects and validate the connection between good UX and business success. Your responsibilities will include analyzing user behavior, collaborating with cross-functional teams, and presenting findings to stakeholders to enhance user experience in Microsoft Security products.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Work closely with data scientists, data analysts, and UX Researchers to define user-level behavioral telemetry in our product portfolio
Develop data collection and statistical analysis strategies, ensuring data integrity and accuracy
Develop an understanding of technical and non-technical users of Microsoft Security products to ensure we are designing solutions that meet their expectations
Expand the UX measurement framework to measure the effectiveness of UX improvements and track user engagement
Use data analytic and data scientific approaches to measure and understand user behavior and UX challenges
Collaborate closely with cross-functional teams, including product managers, designers, and engineers, to define research objectives and incorporate insights into the product development process
Utilize analytic tools and techniques to analyze very large data sets, derive meaningful insights, and uncover patterns and trends related to user behavior
Present research findings, insights, and recommendations to stakeholders in a clear and concise manner, both verbally and through visual presentations
Stay updated on industry trends, emerging technologies, and best practices in UX research and data analysis and apply them to enhance our research methodologies and techniques
Qualification
Required
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
Experience managing structured and unstructured data including coding in at least one high-level programming language such as Python, R, C/C++, C#, or Java
Proven experience analyzing user experience either through UX research or UX focused data science
Preferred
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 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience
Expertise in algorithms, machine learning, and deep learning
Proficiency in data mining, big data technologies, and experimentation methods (e.g., A/B testing)
Ability to influence and tell compelling data stories
Experience working in Agile development environments is preferred
Experience building dashboards using tools such as PowerBI, Tableau, or similar
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
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2025 (9192)
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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
2026-01-14
2026-01-14
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