Principal Applied Scientist

As a Principal Applied Scientist in User Mapping Service, you will join an existing platform team, conduct research and experimentation to design, develop, and evaluate novel user identity graph built in offline & NRT, and online identity resolution techniques, collaborate with product managers, engineers, technical program managers to understand business requirements, define success metrics, deliver end-to-end solutions, evaluate quality of user identity resolution, build user graphs for various policies for all across Microsoft AI organization, track metrics, generate user identity cluster score, gather DSAT data, and continuously improve the graph via experimentation.

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

In this role you will:

• Master a broad area or research and understand any applicable research techniques.
• Serve as a team advocate on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
• Review business and product requirement, incorporate research, and provide strategic direction for problem solving.
• Ensure scientific rigor, support the development of methods, and apply your expertise to support business impact
• Identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives.
• Share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
• Document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  
  • OR Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
    
  • OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    
  • OR equivalent experience.
• 3+ years experience developing machine learning models and deploying them in live production systems, as part of a product team.

Preferred Qualifications:

• 1+ year of experience buidling models for User identity graph is highly preferred
• 1+ year of experience with Ads related technologies.
• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering,
  
  • OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
    
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering,
    
  • OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    
  • OR equivalent experience.
    
• 5+ years experience conducting research as part of a research program (in academic or industry settings