Supply Chain Data Scientist

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 the Cloud Operations + Innovation (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 believers of collaborations to harness our diverse experience, and capabilities to deliver impact.    

Customers and analysts recognize CO+I's tremendous momentum which continues month over month. To help customers achieve their goals, CO+I continues to build the largest global footprint of any Cloud provider.  

We are looking for a Supply Chain Data Scientist for the CO+I Data Science team which delivers Microsoft’s Long Range Infrastructure plan using state of the art econometric/ML models, risk simulations and business intelligence.  It also excels in delivering Optimization Models to help Microsoft make important business decisions in an uncertain world. We are hiring an exceptional Supply Chain Data Scientist to apply their skills in the fields of 1) Forecasting 2) Operations Research 3) Econometrics 4) Statistics 5) Machine Learning to help us rewrite the playbook on supply chain science in the context of data center supply chains.  These skills will help Microsoft make big bets, far out into the future within the context of deploying a new disruptive technology: LLM’s and ChatGPT. 

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.

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.

• •  
• 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
• 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 

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.

Preferred Qualifications:

• Sound 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

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 for the role until May 11, 2024.

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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We are seeking a team member who can: 

• Apply their expertise in quantitative analysis, data mining, and the presentation of data to develop econometric/ ML models  
• Apply their skills in building deterministic / stochastic optimization models to aid decision making processes 

• 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 
• Embody our culture and values