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Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft's cloud services. Microsoft Cloud Operations + Innovation is responsible for designing, building, and operating our unified global datacenters, managing the supply planning and capacity utilization of our unified infrastructure, and is responsible for all of the operations needed to run the physical infrastructure (including supply chain, hardware, power, security, and workflow teams). 

Are you passionate about Cloud Computing technology and driving growth in one of Microsoft’s core businesses? Do you aspire to be part of a team relentlessly focused on customer needs, market expansion and advancing Microsoft Cloud’s first strategy? If yes, look no further than the CO+I Team.

We offer engaging and motivating work where you’ll be empowered to make an impact. You will have the independence and hybrid working flexibility you need. An astute and diverse work culture is at the core of our team and broader group. We are an international team, passionate about life-long learning, that believe in data-based decision making to identify and solve problems. We take a holistic approach to problem solving and are strong believers of collaborations to harness our diverse experience and capabilities to deliver impact.

Customers and analysts recognize Azure’s tremendous momentum which continues month over month. To help customers achieve their goals, Azure continues to build the largest global footprint of any Cloud provider. The CO+I Infrastructure, Planning and Acquisitions (IPA) Long-Range Planning Data Science team delivers Microsoft’s Long Range Infrastructure plan using state of the art econometric/machine learning (ML) models, risk simulations and business intelligence. We are hiring an exceptional Data and Applied Scientist to focus on creating cutting edge econometric/ ML demand and capacity need models with focus on MSFT Artificial Intelligence (AI) offerings. Additionally, they will have to be able to leverage their software engineering skills to connect to various upstream and downstream systems ensuring the forecasting plan matches the execution.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

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

• Apply their expertise in quantitative analysis, data mining, and the presentation of data to develop econometric/ ML models

• Connect and build APIs for turning data science models into a full production system

• Understand fundamental business dynamics impactingdemand, and develop automated statistical solutions for forecasting.

• Develop end to end models in R/ Python – including data manipulation, model building and business applications

• Collaborate with cross-functional teams to understand business needs and identify opportunities for leveraging company data to drive business solutions.

• Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field

• 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 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 equivalent experience.

Other Qualifications:

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:

• Excellent communication and leadership skills to drive projects and build buy-in and support. 

• Demonstrated experience leading and managing a business-critical function. 

• Technical certifications relevant to data analysis/BI

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

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