Data Scientist

7 days ago


Mountain View, California, United States Microsoft Corporation Full time
Job Title: Data Scientist - Technical Safety

As a Data Scientist on the Technical Safety squad at Microsoft, you will play a critical role in ensuring that Copilot's messages comply with content policies and the company's values. Your responsibilities will include developing new methods to evaluate large language models, experimenting with data collection techniques for safety post-training, and training content classifiers to support the Copilot experience.

Responsibilities:
  • Leverage your subject matter expertise to uncover and mitigate safety issues in consumer Copilot.
  • Oversee data acquisition or generation efforts to ensure that the data meets product needs.
  • Generalize machine learning solutions into repeatable frameworks.
  • Conduct thorough reviews of data analysis and techniques used to summarize the process and highlight areas that have been missed or need reexamining.
  • Track advances in industry and academia, identify relevant state-of-the-art research, and adapt algorithms and/or techniques to drive innovation and develop new solutions.
  • Independently write efficient, readable, and extensible code and model pipelines.
  • Contribute to defining the safety roadmap for Copilot, keeping in mind business and product goals.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
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.
Preferred Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, please visit our website at https://careers.microsoft.com/v2/global/en/accessibility.html.


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