Apple · 2 days ago
Senior Data Scientist - Experimentation
New York, United States
Full-time
Onsite
Senior Level, Lead/Staff
$181K/yr - $318K/yr
8+ years expApple is a leading technology company focused on creating products that enrich people's lives. The Ads Experimentation team is looking for a Senior Data Scientist to design and build an advanced experimentation platform, collaborating with cross-functional teams to drive innovation and improve advertising effectiveness while ensuring user privacy.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Design and build a new generation of experimentation platform for the Ads Platform organization
Apply leading-edge technologies to enable safe and data driven launch of features that help connect Apple users and advertisers while delivering on Apple's privacy commitment through experimentation
Collaborate with stakeholders and data scientists to design experiments and statistical methods that account for the marketplace dynamics and yield reliable treatment effects
Provide expert technical guidance to engineers and scientists on statistical techniques, experiment design and data engineering
Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates
Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions
Lead the design, development, and maintenance of scalable and reliable data pipelines
Implement robust data quality checks, monitoring systems, and data lineage tracking
Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions
Qualification
Required
8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference
Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates
Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials
Experience in marketplace experimentation is a bonus
Familiarity with causal machine learning tools and technologies
Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables
Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions
Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus
Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale
Lead the design, development, and maintenance of scalable and reliable data pipelines
Implement robust data quality checks, monitoring systems, and data lineage tracking
Advocate best practices for data engineering
Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions
Preferred
Advanced Degree in Computer Science, Statistics, Applied Math or related field
Skilled at operating in a cross-functional organization
Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action
Curious business attitude with a proven ability to seek projects with a sense of ownership
Excellent communication, social and presentation skills
Desire to work in a fast-paced and challenging work environment
Mentor junior engineers and scientists on the team
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
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
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
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Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey 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
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
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2025-12-01
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2025-09-25
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