Data Scientist II

Microsoft's Cloud business is experiencing explosive growth, and the Capacity, Supply Chain & Provisioning (CSCP) organization is responsible for enabling the infrastructure underlying this growth. Our mission is to deliver the world's computer with an industry-leading supply chain. CSCP is responsible for strategic sourcing, customer demand forecasting, capacity planning and management, supply chain planning and execution, capacity provisioning, and decommissioning and dispositioning of datacenter assets worldwide.

Microsoft's mission is to empower every person and organization on the planet to achieve more, and we believe this mission has never been more important. It guides work across the company to recognize the enormous opportunity and responsibility to ensure that the technology we create benefits everyone on the planet, as well as benefiting the planet itself.

To fulfil this mission, we are looking for an individual that is passionate about our planet and Sustainability Product Innovation. Microsoft is committed to a more sustainable future backed by a $1B planned spend and carbon emission goals that are unparalleled in the industry.

This work will include applying advanced Artificial Intelligence/Machine Learning techniques, large scale optimization to provide insights and recommendations that operate at the intersection of Cloud, Supply chain and Sustainability and guide Microsoft in its ambition and help millions of customers and partners of Microsoft to achieve their sustainability goals.

As part of the Cloud Supply Chain Sustainability engineering team in Azure, we are at the heart of Microsoft's cloud strategy. Our mission is to deliver a sustainable platform for our customers & partners by combining science-based approaches to climate change with an engineering culture of delivering platforms and services on Azure using the latest technologies in machine learning and the Internet of Things.

Our Culture

Growth mindset - we practice a learn it all vs a know-it-all attitude. Wins are cheered, failures are celebrated and viewed as learning opportunities.

Candour - we believe in transparency and receiving and providing regular constructive feedback across the hierarchy.

Diverse and Inclusive - every voice matters and is appreciated. This is a safe environment where you can express yourself without fear of retribution.

Leadership oriented - each of us are leaders who strive to create clarity, generate energy, and deliver success. We believe in leading with empathy, trust, and context rather than control.

We are looking for a Data Scientist II , who can demonstrate the following traits:

• A team player who is self-starter, customer obsessed, highly inquisitive and biased towards action.
• Comfortable with cold start problems, thrive in ambiguity with an eye for detail.
• Delivers results through innovation and persistence.
• Experience in Artificial Intelligence/Machine Learning technology, foundational math and statistics knowledge and has the broader view of the latest research and development in academia and industry.
• Demonstrates a product mindset and looks to deliver re-usable components that can be deployed as-is or into existing pipelines.

Qualifications:

Required/Minimum Qualifications:

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ 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 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
  • OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR equivalent experience.
• Experience with at least one, or more, Operations Research tools and techniques (e.g. probability theory, Monte Carlo methods, stochastic, queuing, transportation, network models, dynamic and non-linear programming).
• Experience with SQL.

Other Requirements:

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.

Preferred Qualifications:

• Working knowledge of cloud-computing environments - Azure preferred.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 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 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/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .

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

#cscpjobs

Responsibilities:

• Increase the efficiencies of the Cloud supply chain by inventing optimization solutions by orders of magnitude.
• Collaborate with teams to ensure existing optimization pipelines and process continue to deliver business value.
• Build the infrastructure & code to process structured, semi-structured and unstructured data sources.
• Seek and incorporate continuous feedback to improve the efficiency of the business outcomes.