Job Details

Job Information

Senior Data Scientist, Machine Learning Platform Technologies
AWM-3514-Senior Data Scientist, Machine Learning Platform Technologies
1/24/2026
1/29/2026
Negotiable
Permanent

Other Information

www.apple.com
Cupertino, CA, 95015, USA
Cupertino
California
United States
95015

Job Description

No Video Available
 

Role Number: 200643329-0836

Summary

We are looking for a Senior Data Scientist to define how we measure the success and reliability of Apple Intelligence and Siri software. This role connects feature delivery, on-device telemetry, and data insights to help teams understand real user experience and make better engineering decisions using trusted metrics.
You will design product health metrics and ensure measurement is built into every feature from the start. The ideal candidate is a full-stack data scientist with strong engineering instincts and clear data storytelling skills.

Description

You will be the face of the metrics team for cross-functional partners, owning KPIs end to end from definitions and instrumentation to reporting. You will build a strong understanding of our on-device telemetry, engineering workflows, CI/CD practices, and data systems, and use that context to create clear, reliable metrics. You will work closely with engineering, data science, and leadership to drive alignment and decisions.

Minimum Qualifications

  • BS/MS in Computer Science, Data Engineering, or equivalent experience and 6+ years experience applying data science techniques to real business problems.

  • Strong ability to turn ambiguous product or business questions into clear data solutions.

  • Strong programming and data skills, including SQL and Python, and experience with large-scale data pipelines.

  • Experience defining KPIs that reflect real product health.

  • Experience with data quality, validation, and large datasets.

  • Strong communication skills and comfort working across teams.

Preferred Qualifications

  • Experience with telemetry, observability, and measuring reliability or performance.

  • Ability to partner with engineers to diagnose and root cause data issues through understanding instrumentation and system behavior

  • Experience influencing engineering or product decisions using data.

  • Familiarity with distributed systems, modern analytics stacks, and privacy-aware measurement.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Other Details

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