Data Scientist

4 weeks ago

Redmond, Washington, United States Microsoft Corporation Full time

Job Summary

We are seeking a highly skilled Data Scientist to join our Technical Safety squad at Microsoft Corporation. As a Data Scientist - Technical Safety, you will play a critical role in ensuring that Copilot's messages comply with content policies and the larger values of the organization.

Key Responsibilities

  • Leverage subject matter expertise to uncover and mitigate safety issues in consumer Copilot.
  • Oversee data acquisition or generation efforts, ensuring that the data meets product needs.
  • Generalize machine learning (ML) solutions into repeatable frameworks.
  • Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need reexamining.
  • Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions.
  • Independently write efficient, readable, 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.

Experience prompting and working with large language models.

Experience writing production-quality Python code.

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