Microsoft · 21 hours ago
Data Scientist - Compete
United States, New York, New York
Full-time
Hybrid
Mid, Senior Level
$101K/yr - $199K/yr
5+ years expMicrosoft is seeking a Data Scientist to support their Compete team, which quantifies the performance of Microsoft products in the marketplace. The role involves leveraging data science to provide actionable insights and support stakeholders in making data-informed decisions, particularly in the evolving AI landscape.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Business Understanding, Impact, and Management. Understands problems facing projects. Able to leverage knowledge of data science to uncover important factors that can influence outcomes. Describes the primary objectives of the team from a business perspective. Collaborates with internal cross-functional stakeholders to understand business needs. Produces a project plan to specify necessary steps required for completion. Assesses current situation for resources, risks, contingencies, requirements, assumptions, and constraints. Engages business stakeholders to capture and shape their thinking on data-driven methods. Leads customer conversations to understand, define, and solve business problems. Influences stakeholders by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics
Data Preparation and Understanding. Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers
Coding and Debugging. Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques. Understands the causes of common defects and uses best practices in preventing them from occurring. Collaborates with other teams and leverages best practices from those teams into work of their own team. Mentors and guides less experienced scientists in better understanding coding and debugging best practices
Customer/Partner Orientation. Applies a customer-oriented focus by understanding customer needs and perspectives. Builds trust with customers by leveraging interpretability and knowledge of Microsoft products and solutions. Helps drive realistic customer expectations, including information about the limitations of their data
Industry and Research Knowledge / Opportunity Identification. Uses business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities. Develops an understanding of work being done across teams to propose potential collaboration efforts. Coaches and provides support to execute strategy. Leverages capabilities within existing systems
Modeling and Statistical Analysis. Leverages knowledge of machine learning solutions and individual algorithms to identify the best approach to complete objectives. Understands modeling techniques and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance. Breaks down complex statistics and machine learning topics into manageable topics to explain to customers
Qualification
Required
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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Preferred
Longer job experience than the minimum required
Experience writing SQL queries
Experience supporting software products and metrics (e.g. active usage)
Experience directly supporting business stakeholders
Experience working with product and engineering to scale your solutions
Benefits
Certain roles may be eligible for benefits and other compensation.
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
2026-01-16
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