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Do you want to shape the future of the autonomous enterprise and lead the development of intelligent, agent-first experiences that transform how businesses operate? The Business and Industry Solutions (BIS) team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency. You’ll lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making. You’ll collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.
Job Responsibility:
Deliver impactful solutions by executing high leverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes.
Lead the design and implementation of advanced model finetuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in real world scenarios.
Own complex, end to end projects that combine technical depth with cross functional collaboration, influencing feature direction and prioritization rather than broad organizational investment decisions.
Foster alignment and trust across partner teams through clear, actionable communication and collaborative problem solving.
Develop and maintain robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise scale environments.
Mentor and support peers by sharing best practices, reviewing designs, and contributing to a collaborative, high performance team culture.
Leverage AI to streamline workflows and enhance team productivity through intelligent automation and innovation.
Requirements:
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 4+ year(s) related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Nice to have:
Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience