Microsoft Data Scientist 

United States, Washington 

625327978

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.
• Deep knowledge of at least one modern statistical programming language, such as R or Python
• Experience with data query languages such as SQL and management platforms such as SQL Server or Cosmos

Additional or Preferred Qualifications

• Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.,)and forecasting.
• Experience with Experiment Design and analysis.
• Demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress.

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

• Develop a deep understanding of modern and legacy data systems and build data pipelines that enable experimentation and data analysis at scale.
• Understand business needs and develop appropriate data analyses plans to meet those needs ranging from exploratory data analysis, inference and experimentation.
• Sleuth data quality issues that threaten to undermine econometrically sound analysis by identifying clear data requirements and ensuring that analytic datasets meet those rigorous requirements.
• Execute analysis plans ranging from classical statistics to modern machine learning and econometric inference.

Embody our