below marketmost similar roles pay hereabove market
This role pays more than
52%
of similar roles. Most pay
$166,250–$247,500
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$207k
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
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
The AIML - Sr Data Scientist, Evaluation joins the Data Science and Insights team to guide product development through principled evaluation and rigorous data usage. This role involves researching and developing evaluation methods to improve the quality of user-facing products like Siri and Apple Intelligence. You will partner with engineering teams to translate methodological developments into technologies, solve non-routine analysis problems, and build iterative analysis pipelines. Key responsibilities include data collection, quality control, requirements specification, and advocating for metric changes. You will utilize advanced analytical methods, including prompt engineering and building LLMs as judges. Required skills include proficiency in machine learning, statistical data analysis, and programming with SQL, Spark, Python, R, or Scala. The work focuses on improving search quality and user experience across various devices and languages.
What does a Data Scientist earn in California?
Median $214500 from 114 postings across 26 companies.
Research and develop evaluation methods to improve the quality of user-facing products like Siri and Apple Intelligence.
Translate methodological developments into production technologies for use by product engineering teams.
Solve non-routine analysis problems using advanced methods, including prompt engineering and building LLMs as judges.
Conduct data collection, quality control, requirements specification, and processing for complex datasets.
Build and prototype iterative analysis pipelines to provide insights at scale.
Develop and advocate for product data structures and metrics to guide product development.
Partner with engineering teams on core machine learning algorithms and user experience evaluations.
What we're looking for
Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar.
Proficiency in data science, machine learning, and analytics, including statistical data analysis.
Experience crafting, conducting, analyzing, and interpreting experiments and investigations, especially on data quality, evaluation, and risk assessment.
Strong programming skills, including data-querying skills (SQL and/or Spark) and experience with a scripting language like Python, R, or Scala.
Ability to translate business questions into statistical techniques and communicate difficult technical topics to diverse audiences.
Proven ability to collaborate effectively across functions and work well within a team (preferred).
Capability of driving projects of varying sizes and scopes (preferred).
Experience with methods that address accuracy and variability in human annotation data (preferred).
Machine Learning
Data Science
Python
SQL
Spark
R
Scala
LLMs
Prompt Engineering
Statistical Data Analysis
Experimentation
Data Quality
Human Annotation
Analytics
Python
SQL
LLM
NLP
Statistics
Data Manipulation
Natural Language Processing
Metrics Development
Exploratory Data Analysis
Machine Learning
Data Science