Senior Data Scientist, Machine Learning Platform Technologies at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

0.0

Posted On

24 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Telemetry, Data Engineering, SQL, Python, Data Quality, Validation, Large Datasets, KPI Definition, Data Storytelling, Cross-Functional Collaboration, Engineering Workflows, CI/CD Practices, Distributed Systems, Analytics Stacks

Industry

Computers and Electronics Manufacturing

Description

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.

Responsibilities

You will define how to measure the success and reliability of Apple Intelligence and Siri software, connecting feature delivery, telemetry, and data insights. You will own KPIs from definitions to reporting and work closely with various teams to drive alignment and decisions.