AIML - Sr Data Scientist, Evaluation jobs in United States
cer-icon
Apply on Employer Site
company-logo

Apple · 2 months ago

AIML - Sr Data Scientist, Evaluation

Apple is a leading technology company that focuses on driving product impact through measurement and evaluation. The Sr Data Scientist in Evaluation will work with engineering teams to enhance search quality and feature development, leveraging data to improve user experiences across various Apple products.

AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
check
Comp. & Benefits
check
H1B Sponsor Likelynote

Responsibilities

Research and develop evaluation methods to improve the quality of Apple user facing products, such as Siri and Apple Intelligence
Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day
Work with large, complex data sets
Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed, including prompt engineering and building LLMs as judges
Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations
Build and prototype analysis pipelines iteratively to provide insights at scale
Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development
Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations
You should be passionate about building outstanding products

Qualification

Data ScienceMachine LearningStatistical AnalysisSQLPythonCommunicationCollaborationProject Management

Required

5 years of relevant work experience
Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field
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, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala)
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
Strong communication skills and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners

Preferred

Proven ability to collaborate effectively across functions and work well within a team
Capable of driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to know when to dive deep
Worked with methods that address accuracy and variability in human annotation data
Ability to learn new technology and skills to accommodate changing working requirements

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation

Company

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

H1B Sponsorship

Apple has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)

Funding

Current Stage
Public Company
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity

Leadership Team

leader-logo
Tim Cook
CEO
leader-logo
Craig Federighi
SVP, Software Engineering
Company data provided by crunchbase