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Principal Data Scientist Job at Jobright.ai in Redmond

Jobright.ai, Redmond, WA, United States


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Job Summary:

Microsoft is seeking a Principal Data Scientist to join the Power Apps Interface team, which is focused on building an AI-first platform for business applications. The role involves leveraging data science and AI to enhance product capabilities while collaborating with various teams to ensure effective use of data.

Responsibilities:

• Working closely with a variety of teams like partner data science, engineering, and UX teams.

• Developing ML models and solutions using classical algorithms as well as foundation models.

• Deploying these solutions into production.

• Measuring and reporting success, using A/B and shadow experiments, creating dashboards and reports as necessary.

• Using data to answer business questions like potential impact and usage.

• Presentation of work in the team and at Microsoft, such as during Town Halls and MLADS.

• Supporting business impact and evaluation supported decision making culture.

Qualifications:

Required:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

• 7 years experience of programming experience and ability to use different languages like: C#, Python, SQL, Kusto, etc.

• 3 years of experience in statistical tests.

• 5 years experience using data, investigating data, answering questions & solving puzzles using data, data visualization, and storytelling with data which required attention to detail.

• 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 background check.

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)

• Publication history in respected data mining and AI conferences and journals.

• Deep understanding of statistics and statistical theory.

• Have taken qualifying courses on machine learning concepts including, and not limited to: decision trees and forests, gradient descent, logistic regression, deep neural networks, etc.

Company:

Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Founded in 1975, the company is headquartered in Redmond, Washington, USA, with a team of 10001+ employees. The company is currently Public Company.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Industries

    Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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