Microsoft · 5 hours ago
Data Scientist
United States
Full-time
Remote
Mid, Senior Level
$101K/yr - $199K/yr
1+ years expMicrosoft is a leading technology company that empowers individuals and organizations globally. As a Data Scientist, you will own the delivery of strategic data science projects, collaborating with customers and internal teams to design and implement advanced analytics and AI solutions that drive measurable business impact.
Application Performance ManagementArtificial Intelligence (AI)Business DevelopmentData ManagementDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements
Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions
Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles
Identify opportunities to leverage generative AI for business transformation and innovation
Acquire, clean, and prepare large datasets for modeling
Build and deploy predictive and prescriptive models using modern machine learning techniques
Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions
Write efficient, maintainable code and ensure scalability for production environments
Implement prompt engineering, fine-tuning, and evaluation strategies for large language models and other foundation models
Present findings to senior stakeholders using compelling storytelling and visualizations
Simplify complex ML/AI concepts for diverse audiences to drive understanding and adoption
Document best practices for AI application development and share knowledge across teams
Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs
Promote responsible AI practices, including fairness, transparency, and explainability in model and application development
Stay current with emerging AI technologies, frameworks, and tools to continuously enhance solution capabilities
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
Proven consulting and stakeholder engagement skills with proven ability to influence decisions
Proficiency in Python and SQL; experience with cloud platforms (Azure preferred)
Knowledge of Responsible AI principles and ethical data practices
Experience with broader software engineering lifecycle practices, including version control, testing, DevOps, and production deployment of Machine Learning (ML) solutions
Experience with AI-assisted coding practices and specification-driven development
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 (7425)
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
Calcutta Telegraph
2025-12-30
2025-12-30
The Independent
2025-12-30
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