Principal Data Scientist - CoreAI
MicrosoftAbout the role
At CoreAI, we build the foundational platforms and tools that power AI experiences across global-scale products including Azure AI Foundry, GitHub Copilot, and Microsoft 365. We are establishing a world-class product and growth analytics platform to drive decision making at scale and provide actionable insights at the speed of AI.
We are looking to hire a Principal Data Scientist - CoreAI to join our product and growth analytics team. This individual will be responsible for collaborating with teams across CoreAI to identify and clearly communicate insights and analysis to leadership, to measure what matters, and to drive innovation in product analytics and data-driven decision making. The ideal candidate will thrive in a fast-paced culture, demonstrating the ability to adapt quickly to changing priorities while delivering measurable impact that propels growth initiatives forward.
We do not just value differences or different perspectives. We actively seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Evaluating for Insight and Impact
- Modeling and Statistical Analysis
- Data preparation and understanding
- Business understanding and impact
- Coding and Debugging
Qualifications
Required/Minimum Qualifications:
- Doctorate 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 7+ 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 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- 2+ years experience in basic hypothesis testing, p-values and trustworthy experiment design
Other Requirements:
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.
Preferred/Additional Qualifications
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