Principal Data Scientist

Job 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.

As a **Principal** **Data Scien** **tist** , you will 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**

**Data Stewardship & Team Enablement**

+ Oversee data acquisition, formatting, and documentation while mentoring engineers on best practices in data cleaning and analysis.

Lead efforts to identify data gaps and guide ethical and privacy-focused data preparation.

**Model Evaluation & Operational Excellence**

+ Assess and refine team models, promote scalable modeling practices, and introduce innovative evaluation techniques to ensure robust and reliable data-driven solutions.

**Technical Leadership & Industry Insight**

+ Stay ahead of industry trends and technologies to inform strategic direction.

Write extensible, maintainable code and cultivate expertise in debugging and development best practices.

**Strategic Collaboration & Customer Focus**

+ Define and align business and customer goals, explore new opportunities with cross-functional teams, and deliver pragmatic, data-aligned solutions that meet customer needs.

You will embody our culture (https://careers.microsoft.com/us/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values) .

**Qualifications**

**Required/minimum qualifications**

+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ 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.

**Other Requirements**

+ This position requires verification of U.S. citizenship due to citizenship-based legal restrictions.

Specifically, this position supports United States federal, state, and/or local government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law.

To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid U.S. passport.

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.

**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 (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.

 
+ Enjoy travel and are comfortable with travel up to 25%

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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.

Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#ISEngineering

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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .

Required Skill Profession

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