Responsibilities (Text Only)
- Gain expertise in one or more subareas of research and understand applicable research techniques. Develop deep knowledge of a service, platform, or domain, and stay updated on industry trends and applied technologies.
- Apply strategies provided by senior team members and incorporate state-of-the-art research. Develop an understanding of community methods and gain expertise in a specialized area.
- Support a positive environment by applying best practices, mentoring, and assisting with onboarding of entry-level team members. Maintain external network ties and identify prospective talent when asked.
- Document work in progress and share findings to promote innovation. Follow ethics and privacy policies when executing research or collecting information.
- Embody our culture and values.
Qualifications (Text Only)
Required/Minimum 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 the same fields AND 1+ year related experience
- OR Doctorate in the same fields
- OR equivalent experience
- 1+ years of experience applying Machine Learning techniques
- 2+ years of experience coding in Python, C++, C#, C, or Java
- Ability to meet security screening requirements, including Microsoft Cloud Background Check.
Preferred Qualifications:
- Master's or Doctorate with more years of related experience (up to 5+ years for Bachelor's level)
- Experience creating publications (e.g., patents, peer-reviewed papers)
Compensation and application deadline details provided. Microsoft is an equal opportunity employer. For accommodations, contact via the provided form.