JOB SUMMARY

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.

RESPONSIBILITIES

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.

REQUIRED SKILLS

Business management, Research and development, Project implementation, Database administration, Programming, Basic computer maintenance

REQUIRED EDUCATION

Bachelor's degree

COUNTRY: Kenya

• 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.
• Collaborate with Engineering, Product, and Design teams to transform research insights into scalable Microsoft 365 Copilot features used by millions.
• Partner with Microsoft Research, Azure, AI platform teams, and product teams to integrate cutting-edge research into production systems.
• Engage with customers, analyze user feedback and telemetry data to identify pain points and prioritize high-impact ML improvements.
• Mentor junior scientists and engineers while establishing ML best practices across the product organization.
• Create KPIs and success metrics that align with business objectives and track product performance in production.
• Contribute to the applied science community through publications, and internal knowledge sharing. Publishing is encouraged, though not required.

• Business management
• Research and development
• Project implementation
• Database administration
• Programming
• Basic computer maintenance

• 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)
• 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)
• 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)
• Equivalent experience.