Microsoft Data Scientist - Multiple Locations 

United States 

260809984

Required Qualifications:

• Bachelor's Degree (or currently pursuing) in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR equivalent experience.

Preferred Qualifications:

• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.
• Some experience or course work applying basic 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 approaches to solve problems using well defined algorithms and data sources.
• Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
• Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
• Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve
• Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
• Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results