Analytics Specialist We are seeking a skilled Analytics Specialist to help shape one of our fastest-growing cloud services. Your work will directly impact Copilot, enabling personalized, context-aware experiences that empower millions of users across the globe. - You will collaborate closely with software engineers, product managers, and researchers to design, implement, and evaluate models and algorithms that continuously adapt and improve based on user interactions and feedback. - You will leverage advanced machine learning and information retrieval to predict and optimize memory content selection, representation, and lifecycle management. About The Role: The Substrate Core team powers the infrastructure that underpins our most critical services and Copilot. We are a high-impact, forward-looking team focused on building intelligent, scalable, and cost-efficient platforms that enable us to deliver world-class productivity experiences to billions of users. Your core mission will be to deliver exciting innovation in Microsoft Copilot. Microsoft Copilot is revolutionizing how people work and has created an unprecedented opportunity to advance the state-of-the-art in a way that benefits millions of people. Responsibilities: - Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models. - Write production-quality code, apply debugging best practices, and stay current with industry trends. - Drive customer-centric solutions by aligning with business goals and managing stakeholder expectations. - Collaborate cross-functionally to define success metrics and improve AI quality at scale. - Lead research projects that yield new algorithms, tools, or insights solving open problems. Main qualifications include a Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field, 4+ years of experience in predictive analytics, statistics, or research, and experience with synthetic data generation and data management for evaluation/training.