Jobs
Compensation
$172,100 - $305,600
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Relocation Assistance
•Healthcare
•401k
•Equity
•Learning
Required Skills
SQL
Python
Data analysis
KPI definition
Data quality
Data validation
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.
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.
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.
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 .
Pay & Benefits:
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist ICT2
0 reports
$121,979
total / year
Base
-
Stock
-
Bonus
-
$103,682
$140,276
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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