Microsoft Senior Applied Data Scientist 

United States, Washington 

368511672

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
  • OR equivalent experience.
• Experience in Information retrieval and Deep Learning
• Experience in Large Language Models (LLM) and Retrieval Augmented Generation (RAG)

Preferred Qualifications:

• 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.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Develop and deploy solutions leveraging LLMs, SLMs, and RAG models to solve complex data conflation 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 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.