Machine Learning Scientist II - Insights, Data Engineering & Analytics Group

The Insights, Data Engineering & Analytics Group (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.  

Machine Learning Scientist II - Insights, Data Engineering & Analytics Group

As a Machine Learning Scientist II - Insights, Data Engineering & Analytics Group in the IDEAs Group, 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 expertise in designing, prototyping, implementing and machine learning approaches, forecasting, causal inference models and also thrive in a team environment that values cross team collaboration and building on the success of others.

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.  

Responsibilities

• You will build advanced machine learning models (classifiers, reinforcement learning, recommendation engines, causal inference and forecasting) with impact spanning engineering, marketing, and finance.  
• As you identify and explore opportunities for the application of machine learning, AI and predictive analysis, you will partner with teams across product, marketing, sales and engineering teams.  
• You will work with engineers to architect and develop operational models that run at scale.  
• You will communicate with technical and non-technical audiences, and contribute with your modeling expertise as a team player.  
• You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results.  
• Embody our culture and values .

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)