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Company

Microsoft
Address ,
Employment type FULL_TIME
Salary $94,300 - $182,600 a year
Expires 2023-10-03
Posted at 9 months ago
Job Description
Are you interested in a start-up like environment, 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 Microsoft CO+I (Cloud Operations + Innovation).

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 IPA (Infrastructure Planning and Acquisition) Long-Range Planning Data Science team delivers Microsoft’s Long Range Infrastructure plan using state of the art econometric/ML models, risk simulations and business intelligence.

We are hiring an exceptional Economist to focus on creating econometric/ ML demand and capacity need models with focus on Microsoft Artificial Intelligence offerings. This position will focus specifically on the GPU forecasting to support the Artificial Intelligence needs for Microsoft and OpenAI. Additionally, they will have to be able to leverage their software skills to deploy in production for demand planning.

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.

Responsibilities

  • Apply their subject matter understanding in quantitative analysis and econometric modeling, data mining, and the presentation of data to develop econometric/ ML models
  • Work closely with other Data Scientists and Program Managers to define and implement complex data engineering tasks to aid model building
  • Ability to develop E2E models in R/ Python – including data manipulation, model building and business applications
  • Connect to and build APIs for turning data science models into a full production system
  • Apply their subject matter understanding in quantitative analysis and econometric modeling, data mining, and the presentation of data to develop econometric/machine learning models
  • Understand fundamental business dynamics impacting demand, and develop automated statistical solutions for forecasting

Qualifications

Required Qualifications:
  • Experience with running end-to-end statistical models in production, including but not limited to: Data engineering, resource orchestration and/or cross-system pipeline building
  • Experience with C#, SQL and NO-SQL databases
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) o OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) o OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field o OR equivalent experience.
  • Demonstrated experience in using Data Science software (R/Python), parametrizing, and running statistical model inputs/ outputs


Other Requirements:

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.

Applied Sciences 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


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#COICareers

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.