Microsoft Senior Data & Applied Scientist 

United States, Washington 

377199007

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 2+ years experience in Python.
• 2+ years experience in designing and implementing search engine metrics, preferably with projects that involve LLMs.

Additional or Preferred Qualifications:

• 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• Understanding of traditional search engine metrics like precision, recall, Mean Reciprocal Rank (MRR), and Normalized Discounted Cumulative Gain (NDCG)
  
• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.

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

Microsoft will accept applications for the role until February 4, 2025.

• Define, invent, and deliver behavioral and human labeled metrics which accurately measure the satisfaction and success of our customers.
• Research, analyze, and decide between various sampling strategies which accurately reflect user perception.
• Lead a team to design a blueprint for how to get high quality labels with latest technologies and expert judges.
• Enable other machine learning scientists in the broader group to experiment quickly and accurately.
• Make independent decisions for the team and handle difficult tradeoffs.
• Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
• Partner effectively with program management, engineers, and other areas of the business.