Microsoft Applied Scientist - ICML 

United States, Washington 

951187608

Required Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field

  • OR equivalent experience.

• Registered for or attending ICML (The International Conference on Machine Learning) 2024

Preferred Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical
  • OR Computer Engineering,
  • OR related field AND 5+ 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
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year.

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

• You will gain expertise in one or more subareas of research and understand applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and become familiar with the latest industry trends and applied technologies.
• You will apply strategies provided by team members and incorporate state-of-the-art research. You’ll also develop an understanding of methods used in the community and gain expertise in a deeply specialized area.
• As you reinforce a positive environment by applying best practices, you will also support mentorship and assist with the onboarding of entry-level team members. Additionally, you will maintain ties with an external network of peers and identify prospective talent, when asked.
• You will document work in progress and share findings to promote innovation within a group. You’ll also learn and follow ethics and privacy policies while executing research processes or collecting information.