Data & Applied Scientist

Microsoft's Cloud Operations + Innovation Team is the engine that powers our cloud services.The 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.

Microsoft's Long-Range Planning Data Science team is looking for a Data Scientist to focus on creating econometric/ Machine Learning demand and capacity need models with focus on Microsoft Artificial Intelligence offerings . This position will focus specifically on the forecasting to support the Artificial Intellgience needs for Microsoft and OpenAI . 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.

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.

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.

Qualifications:

Required Qualifications:

• 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)
  • 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)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.

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:

• 2+ years professional experience in applications of advanced statistical, analytical techniques or equivalent
• 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• MS in Data Science/ Economics/ Statistics or related field
• PhD preferred
• Experience in using statistical packages and standard libraries in R ( dplyr , ggplot etc.), Python (NumPy, Pandas, etc.) or equivalent.
• Experience in SQL and NO-SQL databases
• Strong fundamentals in statistics and eagerness to learn advanced statistical techniques and machine learning
• Excellent (oral & written) communication and collaboration skills & high level of entrepreneurial drive

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

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.

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Responsibilities:

• Apply their expertise in quantitative analysis, data mining, and the presentation of data to develop econometric/ ML models
• Connect to and build APIs for turning data science models into a full production system
• Understand fundamental business dynamics impacting demand, and develop automated statistical solutions for forecasting
• Ability to develop E2E models in R/ Python - including data manipulation, model building and business applications
• Collaborates to leverage data to identify pockets of opportunity to apply algorithms to improve a solution to a business problem.
• Uses statistical analysis tools for evaluating Machine Learning models and validating assumptions about the data while also reviewing consistency against other sources.
• Begins to independently run basic descriptive, diagnostic, predictive, and prescriptive statistics.