Senior Data Scientist, Machine Learning Platform Technologies

Apple • Cupertino, CA

6d

About The Position

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.

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.

Requirements

• 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.

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees