The Senior Applied Scientist role at Microsoft AI focuses on leveraging expertise in Machine Learning, Generative AI, and Data Science to enhance Bing and Consumer Copilot. The ideal candidate will work with state-of-the-art generative models and large-scale data to drive impactful insights and solutions. This position emphasizes collaboration within a team dedicated to innovation and empowerment, aligning with Microsoft's mission to enable every person and organization to achieve more. Candidates should be prepared to work from the office at least four days a week starting January 2026.

• 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.
• Ability to meet Microsoft, customer and/or government security screening requirements.

• Build and own production machine learning models to improve results.
• Work hands-on with state-of-the-art generative models like Qwen, Llama, and GPT to deliver significant impact.
• Find insights and form hypotheses on large-scale data using various machine learning and data mining techniques.
• Design experiments, understand resulting data, and produce actionable conclusions.
• Wrangle large amounts of data using various tools, including open-source ones.
• Present complex problems and data in a concise manner to assist senior executives in decision-making.

• 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.