AIML - Sr Data Scientist, Evaluation
Seattle, WA, United States • Posted June 03, 2026
Job Type:
Full-time
Location:
Seattle, WA
Posted:
June 03, 2026
Category:
other-general
Application Deadline:
June 08, 2026
Role Description
**Role Number:** 200631850-3337
**Summary**
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data.
You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
**Description**
Research and develop evaluation methods to improve the quality of Apple user facing products, such as Siri and Apple Intelligence. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day. Work with large, complex data sets....
**Summary**
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data.
You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
**Description**
Research and develop evaluation methods to improve the quality of Apple user facing products, such as Siri and Apple Intelligence. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day. Work with large, complex data sets....
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