Principal Data Scientist

Role Description

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

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. 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 of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring a Principal Data 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 scientists have data management and expertise in 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. 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

• Oversee data acquisition and ensure data is properly formatted and described.
• Coach engineers in data cleaning and analysis best practices.
• Identify gaps in current data sets and drive ethics and privacy discussions around data collection and preparation.
• Evaluate your team’s models and recommend improvements as necessary.
• Drive best practices for models and develop operational models that run at scale.
• Conduct thorough reviews of data analysis and modeling techniques.
• Identify and invent new evaluation methods.
• Research and maintain a deep knowledge of the industry, including trends and technologies.
• Identify strategy opportunities and contribute to thought leadership best practices.
• Write extensible code that spans multiple features.
• Develop expertise in proper debugging techniques.
• Define business, customer, and solution strategy goals.
• Partner with other teams to identify and explore new opportunities.
• Commit to a customer-oriented focus by acknowledging their needs.
• Offer customer pragmatic solutions that align with their data capabilities.
• Embody our culture and values.

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.
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience.
• OR equivalent experience.

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.

Additional or Preferred Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience.
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience.
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience.
• OR equivalent experience.
• 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

Benefits

• The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 - $304,200 per year.
• Certain roles may be eligible for benefits and other compensation.

Company Description

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.