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Microsoft

Builds workplace software, PCs and cloud services

Member of Technical Staff - Multiple Teams

Data SciencePosted on Nov 13
Full-timeRedmond, WA, USA$119.8k - $304.2k /yrIn-person

About the Job

Requirements

  • A doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or Computer Science, plus at least one year of data-science experience managing structured and unstructured data, applying statistical techniques, and reporting results; or a master's degree in those fields plus at least three years of data-science experience; or a bachelor's degree in those fields plus at least five years of data-science experience; or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Responsibilities

  • Engage with stakeholders in ambiguous and large scenarios to understand and address business problems with data-driven solutions, applying analytical skills to examine data and identify business-impacting insights.
  • Serve as a subject matter expert in advanced analytics, partnering with other teams to guide data-driven decision-making and mentoring product managers, researchers, and engineers in data best practices.
  • Work with coworkers, partners, and customers to define data needs, research questions, analysis plans, and deliverable timelines.
  • Translate complex technical findings into succinct, actionable business insights, coordinating with partners to present a holistic story.
  • Occasionally support high-priority ad hoc requests from company and Engineering leadership.
  • Lead squads in new areas to define the data required to make decisions and build new things.
  • Share data science best practices with other disciplines and grow Members of Technical Staff's understanding and basic skills in data science.
  • Discover new insights into engineering analytics by leveraging advanced machine learning techniques and artificial intelligence, and continue learning in these disciplines.

Desired Qualifications

  • A doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or Computer Science, plus at least three years of data-science experience managing structured and unstructured data, applying statistical techniques, and reporting results; or a master's degree in those fields plus at least five years of data-science experience; or a bachelor's degree in those fields plus at least seven years of data-science experience; or equivalent experience.
  • At least five years of experience working with data analysis languages and tools such as Python, R, SQL, and Kusto.
  • Experience partnering with stakeholders to translate business problems into data-analysis questions and deliver business impact through predictive analytics, statistical modeling, data mining, artificial intelligence, or machine-learning algorithms.
  • Experience developing data pipelines and working with large data sets to address business problems.
  • Understanding of the Software Development Lifecycle and experience with common software engineering tools, including Git, Azure DevOps, and GitHub.
  • Ability to deliver on ambiguous projects with incomplete data and evolving requirements while collaborating with a multidisciplinary team.
  • Experience developing or applying predictive analytics, statistical modeling, data mining, artificial intelligence, A/B experiments, or machine-learning algorithms at scale.
  • Demonstrated communication skills and ability to collaborate effectively in a multidisciplinary team.

About the Company

Microsoft

Builds workplace software, PCs and cloud services

Microsoft builds workplace software, operating systems and cloud infrastructure for consumers, businesses and government agencies, from small organizations to global enterprises. Microsoft 365 combines Word and Excel with Teams communication and Copilot AI features, while Windows runs PCs and Surface supplies the company's own computers. Azure rents computing capacity, storage and databases to build and run web applications. Microsoft also sells Xbox consoles and games, collecting revenue through software licenses, subscriptions, usage charges and product sales. Founded in 1975 by Bill Gates and Paul Allen, Microsoft is headquartered in Redmond, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Redmond, WA
Founded
1975

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