Principal Data Scientist - CoreAI
Indexed description
We’re looking for a Principal Data Scientist - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft’s developer-focused AI suite and drives product growth.
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.
Responsibilities
- Supply executives with time-critical analyses that steer major investment decisions.
- Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication.
- Identify and prioritize high ROI data opportunities for your individual work and the broader team.
- Contribute actively to the infrastructure and culture needed to scale quantity and quality of data insights across CoreAI.
- Mentor other data scientists, engineers, and PMs.
- Operationalize models and reporting.
- Leverage AI to accelerate workflows and amplify team productivity.
- 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.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- 5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins.
- 5+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R.
- 5+ years of experience designing and analyzing experiments and causal inference studies.
- 3+ years of experience contributing to scaled data pipelines supporting operationalized reports, models and analyses.
- Experience using AI tools in data science and analytics workflows.
- Experience both prototyping and deploying data products.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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