The Senior Applied Data Scientist role at Microsoft involves leveraging advanced AI technologies to address complex challenges within the Bing Places Data team. The position focuses on utilizing Large Language Models, Small Language Models, and Retrieval-Augmented Generation models to enhance search relevance and user experiences. The candidate will collaborate with a research-driven team, contributing to impactful projects while staying updated on the latest advancements in machine learning and natural language processing. This role offers opportunities for career growth and mentorship within a culture that values innovation and inclusion.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience.
• Equivalent experience may be considered.
• 3+ years of experience in publishing peer-reviewed research or presenting at conferences.
• Proven expertise in developing and deploying AI solutions in production environments.
• Experience working with cloud-based infrastructure and big data technologies.

• Develop and deploy solutions leveraging LLMs, SLMs, and RAG models to solve complex data challenges and enhance the Bing Places platform.
• Stay informed about the latest advancements in AI/ML research, evaluate their applicability, and integrate them into scalable systems.
• Collaborate across multidisciplinary teams, including engineers, data scientists, and product managers, to translate research insights into actionable solutions.
• Create robust pipelines for data processing, training, and inferencing to optimize model performance and scalability.
• Mentor junior team members, foster knowledge sharing, and support recruiting efforts to build a world-class research team.
• Uphold ethical principles in AI, ensuring solutions are fair, unbiased, and aligned with Microsoft’s privacy standards.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.