Apple · 2 hours ago
Senior Marketing Data Scientist
Cupertino, CA
Full-time
Onsite
Senior Level, Lead/Staff
$172K/yr - $306K/yr
8+ years expApple is a leading technology company that provides various services to enhance user experiences. They are seeking a Senior Marketing Data Scientist to evolve marketing strategies through data analysis, attribution, and predictive modeling, collaborating with cross-functional teams to improve customer engagement.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Collaborate with cross-functional teams (Business, Engineering, Product, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting
Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve marketing strategies
Develop attribution methodologies and frameworks to assess the effectiveness of campaigns across channels
Design and build datasets, reports, and dashboards to monitor campaign and channel performance at scale
Conduct ad-hoc analyses to support major initiatives and campaigns
Help shape marketing campaign touchpoints and customer journey strategies to deepen engagement
Build predictive models, including LTV and propensity models, to support campaign optimization and audience targeting
Evaluate the incremental impact of marketing efforts using causal inference and testing methodologies
Explore how emerging technologies, such as generative AI, can be applied to create business value
Communicate insights and strategic recommendations to Marketing, Business, Finance, and Executive stakeholders
Partner with teams across Apple to support responsible data collection, governance, and access
Qualification
Required
8+ years of experience as a Data Scientist or Analyst in marketing, media, subscription, or tech environments, with a proven track record of campaign measurement and optimization
Strong proficiency in SQL and at least one programming language such as Python or R; experienced in building analytical datasets and pipelines using large-scale structured and unstructured data
Applied expertise in statistical and experimental techniques including A/B testing, regression, clustering, survival analysis, and causal inference
Demonstrated ability to translate complex data into clear, actionable business insights for cross-functional stakeholders
Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience
Preferred
Experience in a digital subscription or large-scale e-commerce business
Deep understanding of marketing effectiveness measurement, particularly through causal inference methods
Master's or Ph.D. in a quantitative field is a plus, but not required
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
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 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
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase