Apple Media Products Data Science & Analytics team is seeking a Senior Marketing Data Scientist to evolve marketing strategies across Apple Services through the use of attribution, causal inference, testing, and predictive modeling to enhance services and support business growth.
Requirements
- 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.
- Experience in a digital subscription or large-scale e-commerce business.
- Deep understanding of marketing effectiveness measurement, particularly through causal inference methods.
- Demonstrated ability to translate complex data into clear, actionable business insights for cross-functional stakeholders.
Responsibilities
- 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.
- 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.
- 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.
Other
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.
- Master’s or Ph.D. in a quantitative field is a plus, but not required.
- 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.
- Help shape marketing campaign touchpoints and customer journey strategies to deepen engagement.
- Conduct ad-hoc analyses to support major initiatives and campaigns.
- Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
