Principal Data Scientist

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovatenew solutionsto complex problems? Do you jump with excitement at the opportunity toidentifytrends and provide unique business solutions? Do you want to join a team where learning abouta new technologyor solution is part of our work every day?Then, come join us!

We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development ofbroadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a PrincipalData Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services.Data scientistshavedata management andexpertisein developing statistical techniques to analyze data and find patterns.You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.

As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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.

• You will oversee data acquisition and ensure data is properly formatted and described.You'llalso coach engineers in data cleaning and analysis best practices,identifygaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.

• You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.You'llalso conduct thorough reviews of data analysis and modelingtechniques, andidentifyand invent new evaluation methods.

• You will research andmaintaina deep knowledge of the industry, including trends and technologies, so that you canidentifystrategy opportunities and contribute to thoughtleadershipbest practices.You'llalso write extensible code that spans multiplefeatures, anddevelopexpertisein proper debugging techniques.

• You will define business, customer, and solution strategy goals, and partner with other teams toidentifyand explore new opportunities.You'llalso commit to a customer-oriented focus by acknowledging theirneeds, andoffer customer pragmatic solutions that align with their data capabilities.

• You will embodyourcultureandvalues.

• 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.

Other Requirements

• This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
• 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

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Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800.00 - $274,800.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000.00 - $304,200.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

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.