Applied Scientist II - ML

Microsoft • Redmond, WA

76d • $100,600 - $199,000

About The Position

The Insights, Data Engineering & Analytics team (IDEAS), is a central data science team for M365 engineering and marketing. As one of the largest data science groups at Microsoft, our team plays a key role in providing data and analytics for M365 and owns the end to end ML and decision sciences charter. By joining our team, you will be at the heart of data, insights, machine learning, AI, and technology, lighting up actionable insights that drive key business decisions for the entire M365 organization. As a Applied Scientist II - ML in IDEAs team, you will be bringing relevant data into a central systems to create the single version of truth and perform opportunity analysis and hypothesis generation for stages throughout the end-to-end customer lifecycle. This opportunity will allow you to gain experience in designing, prototyping, implementing and testing descriptive, predictive analytics, forecasting, causal inference models and also thrive in a team environment that values cross team collaboration and building on the success of others.

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.
• 2+ years of experience with R, Python implementing statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.
• 2+ years with experience in synthesizing insights and presenting complex ML model recommendations to technical and non-technical audiences.
• 1+ year of experience in the ability to structure unscoped problems, define success metrics, and drive execution under uncertainty.

Nice To Haves

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate 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 equivalent experience.
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
• 3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.
• Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems.
• Familiarity with deep learning toolkits, e.g. CNTK, TensorFlow.

Responsibilities

• Build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance.
• Identify and explore opportunities for the application of machine learning, AI and predictive analysis, partnering with teams across product, marketing, sales and engineering.
• Work with engineers to architect and develop operational models that run at scale.
• Communicate with technical and non-technical audiences, contributing modeling experience as a team player.
• Tackle hard problems in innovative ways, driving self-directed initiatives, focusing on delivering the right results.

Benefits

• Base pay range for this role across the U.S. is USD $100,600 - $199,000 per year.
• Base pay range for this role in the San Francisco Bay area and New York City metropolitan area is USD $131,400 - $215,400 per year.
• Certain roles may be eligible for benefits and other compensation.

What This Job Offers

• Industry: Publishing Industries
• Number of Employees: 5,001-10,000 employees