Senior Data Scientist

Overview

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!

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking toleveragethe 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 ofbroadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.

We are hiring aPrincipalData Scientistto 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.

Responsibilities

• 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.

Qualifications

Required/Minimum Qualifications (RQs/MQs)

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• ORBachelor'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

• Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.

Additionalor Preferred Qualifications (PQs)

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• ORMaster'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)

• ORBachelor'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.

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

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

At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It'san informal and flexible workenvironmentandyou'llbe welcome to work in the way that best enables you to get your job done.

We invest in your health,wellness,and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/orreasonableaccommodation due to a disability during the application or the recruiting process, please send a requestvia theAccommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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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 $160,200 - $261,000 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.