Microsoft Data Scientist 

United States, Washington 

83905593

Required/Minimum Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Master's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• Experience with Machine Learning Operations and Engineering
• Communication skills – written, oral as well as presentation skills

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

• Be a self-starter with a demonstrated track record of providing technology vision and driving them through.
• Develop Machine Learning models and solutions using classical algorithms as well as foundation models.
• Apply Engineering Principals to develop Machine Learning Systems.
• Operationalize and Deploy Machine Learning models and system on the Azure Cloud.
• Collaborate with partner teams (engineering, designers, end users, and data science) to deliver end-to-end systems and experiences.
• Ensure solution delivered adheres to the technological standards established in the organization Dive into individual problem areas and guide the engineering team by making recommendations and best approaches.
• Embody our Culture and Values