Applied Scientist

Microsoft • Redmond, WA

2d

About The Position

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 Microsoft Cloud Operations + Innovation (CO+I).
CO+I is the engine that powers Microsoft's cloud services. CO+I 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 operations needed to run the physical infrastructure including supply chain, hardware, power, security, and workflow teams.
We are seeking a Applied Scientist with strong data and software engineering expertise. Our team develops long-range capacity plans for Azure datacenters by leveraging advanced demand forecasting models, business strategies, and a wide array of data sources. In this role, you will help deliver Microsoft’s Long Range Infrastructure plan using state-of-the-art econometric and machine learning models, risk simulations, and business intelligence. You will build cutting-edge econometric/ML models to forecast demand and capacity needs, with a particular focus on Microsoft AI offerings. You will also apply strong software engineering skills to integrate upstream and downstream systems, ensuring our forecasting plans align with 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.

Requirements

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 2+ years professional experience in applications of advanced statistical, analytical techniques or equivalent
• MS in Data Science/ Economics/ Statistics or related field, PhD preferred
• Experience using statistical computing languages (R, Python)
• Experience in SQL and NO-SQL databases
• Demonstrated experience leading and managing a business-critical function.
• Excellent communication and leadership skills to drive projects and build buy-in and support.
• Strong fundamentals in statistics and eagerness to learn advanced statistical techniques and machine learning

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 impacting demand, and develop automated statistical solutions for forecasting.
• Develop E2E 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees