Qualifications

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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.
  

• Advance the science: Design experiments, validate metrics, and build ML pipelines for reinforcement learning, advanced reasoning techniques, and LLMs while ensuring Responsible AI and Privacy-Preserving ML best practices.
  
• Drive product innovation: Collaborate with Engineering, Product, and Design teams to transform research insights into scalable Microsoft 365 Copilot features used by millions.
  
• Cross-team collaboration: Partner with Microsoft Research, Azure, AI platform teams, and product teams to integrate cutting-edge research into production systems.
  
• Champion customer-focused impact: Engage with customers, analyze user feedback and telemetry data to identify pain points and prioritize high-impact ML improvements.
  
• Technical leadership: Mentor junior scientists and engineers while establishing ML best practices across the product organization.
  
• Define and measure success: Create KPIs and success metrics that align with business objectives and track product performance in production.
  
• Stay at the research forefront: Contribute to the applied science community through publications, and internal knowledge sharing. Publishing is encouraged, though not required.