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Microsoft · 1 day ago

Principal Data Scientist

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Responsibilities

Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft Fabric and provides expertise or technology to create business impact. Takes initiative and drives activities such as technology transfers attempts, filing patents, or consulting for product or business groups. May publish research to promote receiving new intellectual property for business impact.
Brings new technology and approaches into production by applying long-term data science efforts to solve immediate product needs. Collaborates with and bridges the gap between DS and development teams. Conducts thorough review of data science techniques used and highlights areas that have been missed or need reexamining. Identifies new evaluation approaches and metrics and invents new methodologies to evaluate models.
Independently and collaboratively writes efficient, readable, extensible code/model that spans multiple features/solutions. Contributes to the code/model review process by providing feedback and suggestions for implementation and improvement.
Serves as an expertise within the domain. Gains deep knowledge in a complex or highly ambiguous service, platform, or domain. Shares knowledge of changes in industry trends and advances in applied technologies with engineers and product teams to apply advanced concepts to identify product needs and drive action toward solutions.
Reviews business and product requirements and incorporates state-of-the-art research or previously tested solutions occurring at Microsoft and the academic field to formulate plans that will meet business goals. Identifies problems and develops strategy to resolve team or feature level problems. Provides strategic direction for the kinds of data used to solve problems.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceData Science ExperienceMachine LearningPythonRSQLC++C#GenAI ProductsLLM TechnologiesStatistical AnalysisData ModelingCode Review

Required

PhD in Data Science, Mathematics, Statistics, Computer Science, or related field AND 5+ year(s) data-science experience
OR Master's in Data Science, Mathematics, Statistics, Computer Science, or related field AND 7+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 10+ years data-science experience
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred

5+ years of experience with one or more of the following languages: Python, R, SQL, C++/C#.
1+ year working on GenAI products and LLM technologies.
5+ years of industry experience leading data science efforts using ML/LLM

Company

Microsoft

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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
Represents job field similar to this job
Trends of Total Sponsorships
2023 (5862)
2022 (11005)
2021 (8174)
2020 (6856)

Funding

Current Stage
Public Company
Total Funding
$1M
Key Investors
Technology Venture Investors
2022-12-09Post Ipo Equity· Undisclosed
1986-03-13IPO· nasdaq:MSFT
1981-09-01Series Unknown· $1M

Leadership Team

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Clare Barclay
Chief Executive Officer, Microsoft UK
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Helene Barnekow
CEO Microsoft Sweden
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Company data provided by crunchbase
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