Microsoft Senior Data Applied Scientist 

United States, Washington 

724379395

are responsible for

n importantpart ofemake Azure the mosttechniques of diagnostic/prescriptive analyticsand AI/ML todeliver cloud-native analyticsthat generatedata used for bothreal-time and strategic decision-making.

Required/Minimum Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

o 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)

o 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)

o OR equivalent experience.

• Demonstrated real-world experience in analytics, machine learning, or generative AI.
• Fluent programming with Python, R, SQL, or equivalent languages.
• Fundamental knowledge of probability & statistics, machine learning, and AI.

• Other Requirements:
• Cloud Background check: 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.

Additional or Preferred Qualifications

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

o OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

o OR equivalent experience.

• 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Software engineering skills to build an ML/AL pipeline end-to-end
• Understanding of cloud computing and big-data platforms
• Demonstrated ability in solving complex problems under ambiguities
• Excellent verbal and written communication skills
• Ability and passion to collaborate with stakeholders of a diversity of background
• Ability and passion to master new technologies and apply them to real business problems

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

• Discover and frame business challengesinto solvableproblem

• Design &developanalyticssolutions or productswithheuristics, statisticalanalysis, machinelearning,and/orgenerative AI

• ollaboratewith product managers, software engineers, and end users.