Microsoft · 2 days ago
Data Scientist
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Responsibilities
Business understanding: Understands underlying business and product goals to inform design of data science solutions. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Effectively communicates business goals, data insights, and data science solutions with variety of stakeholders.
Data fluency: Explore, query, visualize, and process data sets to deeply understand available datasets. Evaluates and leverages existing methodologies and tools, such as statistical and ML packages. Able to identify and propose solutions to data integrity and quality issues.
Modeling & analysis: Understands pros/cons of wide variety of ML techniques (classification, regression, clustering, time series analysis, natural language processing, etc.) and algorithms (linear/logistic regression, gradient boosting, agglomerative clustering, deep neural networks, Transformer networks, etc.) to select the most appropriate solution. Applies standard modeling techniques (cross-validation, regularization, ensembling, etc.) as appropriate to ensure high-quality, reproducible results. Conducts well-designed experiments, performs statistically sound analyses, communicates results clearly and accurately to stakeholders (engineering and PM teams and leadership).
Measurement & iteration: Measures success of data science solutions in the context of business impact and goals. Analyzes model performance and quickly iterates to improve performance metrics.
Engineering skills: Writes efficient, scalable, maintainable code. Performs comprehensive quality checks for data processing and ML modeling code. Understands proper debugging techniques when dealing with data pipelines and non-deterministic code. Familiar with big data tooling, ETL pipeline principles, REST API consumption and deployment.
Customer focus: Considers user experience when designing data science solutions. Examine and evaluate projects through customer-focused lens. Responsive to user feedback.
Qualification
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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)
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)
OR equivalent experience
1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting 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
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Benefits
Benefits and other compensation available. More information can be found at: https://careers.microsoft.com/us/en/us-corporate-pay
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
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
Trends of Total Sponsorships
2023 (5862)
2022 (11005)
2021 (8174)
2020 (6856)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2024-01-02Undisclosed· Undisclosed
2022-12-09Post Ipo Equity· Undisclosed
1986-03-13IPO· nasdaq:MSFT
Leadership Team
Recent News
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2024-06-06
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