Senior Data Scientist, Apple Services Engineering jobs in United States
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Apple · 3 weeks ago

Senior Data Scientist, Apple Services Engineering

positionCupertino, California, United States
timeFull-time
remoteOnsite
senioritySenior Level
money$172K/yr - $306K/yr

Apple is seeking an exceptional Senior Data Scientist to join their Experimentation Data Science team. In this role, you will lead the development of statistical and causal inference methods, design and analyze large-scale experiments on Apple Media products, and collaborate with cross-functional teams to inform strategic decision-making.

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

Responsibilities

Conduct research and develop novel statistical and causal inference methodologies applicable to experimentation at scale
Publish, present, and champion new techniques that push the boundaries of real-world data science
Design, implement, and analyze A/B tests and quasi-experiments across a variety of product, platform, and business domains
Apply advanced causal inference methods (e.g., matching, synthetic controls, IV, DiD, uplift modeling) to generate robust, reliable insights
Work fluently with large-scale data systems, including HDFS, Spark, Scala, and distributed computing frameworks
Develop and leverage modern data tooling to support fast, scalable experimentation
Build high-quality data products using Python, R, and related open-source tools
Clean, synthesize, and analyze complex datasets with rigor and efficiency
Translate ambiguous business questions into well-structured analytical approaches and experimental designs
Deliver clear, actionable recommendations that inform strategy and accelerate impact
Present complex analytical findings to technical and non-technical audiences with clarity, precision, and confidence
Develop compelling presentations and visualizations that communicate insights effectively and drive decision-making
Collaborate with product managers, engineers, design teams, and other data scientists to scale experimentation and causal inference best practices across the organization
Mentor others, contribute to team standards, and model excellence in scientific rigor and collaboration
Demonstrate a strong sense of ownership, accountability, and a passion for elevating experimentation science
Continuously learn, explore new methods, and adapt to evolving technologies and business needs

Qualification

Causal inference methodsStatistical methodologyBig data ecosystemsPythonRData visualizationCommunication skillsOrganizationCollaborationAdaptability

Required

PhD in Statistics, Computer Science, Economics, Mathematics, or a related quantitative discipline, with a strong publication record in top-tier journals or conferences
Extensive experience with advanced statistical methodology, experimentation frameworks, and causal inference techniques
Hands-on expertise with big data ecosystems, including HDFS, Spark, and Scala
Proficiency in Python and/or R, with strong software engineering and data manipulation skills
Exceptional communication skills, with the ability to simplify complex topics and engage with stakeholders at all levels
Proven ability to translate business needs into scientific solutions, balancing rigor with practicality
Strong presentation and data visualization skills (e.g., ggplot, matplotlib, Plotly, Shiny, dashboards, storytelling tools)

Preferred

A collaborative mindset, excellent organization, and a passion for scaling processes and sharing knowledge
A growth-oriented, curious, and adaptive approach to your work and the evolving data science landscape

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

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Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
dateFounded in 1976
location
Cupertino, California, USA
people-size10001+ employees
web-link
https://www.apple.com

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
Late Stage
Total Funding
$5.67B
Key Investors
Berkshire HathawayMicrosoftSequoia Capital
2026-01-10Pre Seed· $1M
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M

Leadership Team

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Tim Cook
CEO
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Craig Federighi
SVP, Software Engineering

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