This role pays more than
55%
of similar roles. Most pay
$162,000–$254,750
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$208k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
2925 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2305 roles with salary data.
AIML - Data Scientist, Evaluation is a Sr Data Scientist role within the online metrics and insights team of the Evaluation organization. The successful candidate will use analytical and engineering methods to develop conceptual models, perform insight analyses, and define metrics and instrumentation strategies to assess the success of new features. Day-to-day responsibilities include investigating worldwide product usage to identify weaknesses, performing statistical and LLM analysis on structured and linguistic data, and building relationships with partners to drive a privacy-first strategy for analytical insights. The role requires proficiency in Python, SQL, and LLM-driven analytics workflows, alongside experience in Natural Language Processing and A/B experiment design. This position focuses on the technical challenge of providing principled assessments across diverse features including Search, Siri, and Apple Intelligence capabilities to improve overall user experience through data-driven product improvements.
Develop software systems and analytical models to evaluate the performance of Apple AI products.
Use LLMs and Python to analyze structured and linguistic data for product insights.
Identify product weaknesses and opportunities by analyzing worldwide usage data.
Define metrics and instrumentation strategies to assess the success of new features.
Design and interpret A/B experiments to inform product improvements.
Develop evaluation pipelines and conceptual methodologies for large-scale dataset analysis.
Translate complex data findings into actionable insights for engineering and product partners.
What we're looking for
3+ years of data science experience applying quantitative methods to structured and unstructured data for analysis, pattern recognition, and metrics development.
Strong programming skills in Python and SQL for data manipulation, processing, and analytics pipelines.
Experience with LLM-driven analytics workflows using Python coding frameworks and evaluation pipelines.
Proven ability to analyze user behavior, design and interpret A/B experiments, and translate findings into product improvements.
Master's degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Linguistics, or Physics (PhD preferred).
Experience with Natural Language Processing (NLP) and LLMs (preferred).
Experience with development of dataset and analysis conceptual methodologies (preferred).
Excellent communication skills to synthesize analyses into clear insights and influence multi-functional partners (preferred).
Data Science
Machine Learning
LLM
A/B Testing
Human Evaluation
Logging
Synthetic Data
Machine Translation
Agentic Systems
Tool-use
Instrumentation
Evaluation Frameworks