Principal Data Scientist

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?

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 pride ourselves in using, and making contributions to, open source and assisting our product teams to make our tools and platforms easier to use.

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. In this role, you will be working with engineers from your team and our customers’ teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers’ toughest challenges.

We are hiring a Principal Data Scientist with deep expertise in machine learning and AI and experience in developing production quality solutions which deliver a huge business impact. The ideal candidate should also have deep industry experience in either Manufacturing, Energy, Mobility, or Telecommunications sectors. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program management to deploy business solutions.

Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!

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

• Leads data-science projects or teams to align with business needs and deliver value.
• Brings new value to the business by leveraging your industry experience in terms of where resources and business needs should be allocated.
• Leverages extensive experience to drive best practices for discovering, implementing, and maintaining transformative data-science solutions for customers.

• Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.

• Develops and applies ML frameworks and best practices for scalable and ethical solutions.
• Has deep mathematical understanding of statistics and machine learning.
• Incorporates best practices for ML modeling with consideration for artificial intelligence (AI) ethics.

• Review, supports and provides best practices for data analysis and modeling techniques.
• Ensures selected modeling techniques are appropriate and align with desired project outcomes.
• Decide on the next steps (e.g., deployment, further iterations, new projects).

• Serves as industry thought leader in data science in either of the following fields: Manufacturing, Energy, Mobility, Telecommunications.
• Provides feedback, drives improvement, and shares knowledge as a data science and industry expert.
• Applies deep expertise to drive novel customer experiences, including early access engineering programs.
• Applies expertise to mitigate technical customer escalations.

• Writes and debugs code for complex projects and leads solution development.

• Leads ML and data-science partnerships and IP improvement.
• Partners with diverse Microsoft teams to identify and explore opportunities for the novel application of machine learning (ML) and other data-science tools to the above industry.

• Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
• Develops new techniques/methodologies for building solutions for a specific business need based on available data.

• 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 (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.
• 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Physics, 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 12+ 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 14+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• Experience working as part of geographically dispersed, diverse, and virtual teams.
• Enjoy travel and are comfortable with travel up to 25%.
• Demonstrated ability to work with customers and collaborate across company boundaries.

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 per year.

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

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Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.