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Principal Applied Science Manager - Excel Team

Microsoft
Redmond, USA
Full-time
Senior · 8+ years experience
Hybrid
USD 165600-296400 yearly / year
Discovered 3 weeks ago

Full Job Posting

Required Qualifications

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
  • 3+ years of people management experience.

Other Requirements

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

  • Advanced degree in Computer Science, AI, Machine Learning, HCI, Software Engineering, or equivalent experience.
  • Experience leading research and applied science teams focused on LLMs, AI agents, and production AI systems.
  • Deep knowledge in LLM evaluation, benchmarking, experimentation, failure analysis, and model quality.
  • Demonstrated technical judgment across agent architectures, prompting, tooling, reliability, safety, latency, and cost.
  • Track record of translating research innovations into large-scale commercial products.
  • Experience leading cross-functional initiatives spanning research, engineering, product, and design, while influencing decisions through data and experimentation.
  • Experience building and evaluating AI agents, model optimization, evaluation infrastructure, and enterprise productivity applications, with recognized technical contributions and strong executive communication skills.
  • #OPG #OPGHiring
  • Applied Sciences M6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
  • Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
  • This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
  • Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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