Microsoft Data Scientist Opportunities - PhD Multiple Locations 

United States 

12870825

Required Qualifications:

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

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 or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
• Experience or course work applying ML to a type of data and or used algorithms to conduct experiments on data.
• Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#.

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

• Formulate and execute problem-solving strategies using well-defined algorithms and comprehensive data sources, ensuring alignment with project goals and business impact.
• Incorporate a deep understanding of product functionality and customer perspective to contextualize problems and enhance the relevance of solutions.
• Utilize data exploration techniques to uncover new questions or opportunities, assessing the applicability and limitations of data to drive innovation.
• Analyze results, validate analytical approaches, and employ monitoring techniques to iterate and continuously improve processes and outcomes.
• Engage with peers and stakeholders to generate clear, compelling insights that influence product and service improvements, impacting millions of customers.
• Actively participate in the peer review process, incorporating feedback and learning innovative methods, algorithms, and tools to enhance the impact and applicability of results
• Embody our and