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Microsoft Senior Data Scientist 
United States 
606386950

30.07.2024

Required/Minimum 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)
    • OR 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.


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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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

Responsibilities
  • Work closely with security researchers, program managers, other data scientists, and engineering teams to help implement a data-driven strategy for detecting attacks against Azure Perform exploratory data analysis on massive data sets generated from telemetry.
  • Perform experiments to determine the most effective approaches to detect attacks, including application of supervised, unsupervised, and anomaly detection machine learning techniques.
  • Train and deploy machine learning models to production environments to support detecting new attacks on Azure Implement machine learning pipelines for continuous retraining and evaluation of model performance.
  • Participate in planning how we should measure the most pressing threats to the Azure environment and guiding others in the creation and improvement of these metrics.

Embody our