About the position
At Apple, our Services help hundreds of millions of people get the most from the devices they love-whether through award-winning shows and movies, music in spatial audio, engaging workouts and meditations, amazing apps, or fun games. The Apple Media Products Data Science & Analytics team is dedicated to uncovering meaningful insights and building data-powered solutions that enhance our services and support business growth-while honoring Apple's deep commitment to user privacy. We are seeking a Senior Marketing Data Scientist to help evolve our marketing strategies across Apple Services through the use of attribution, causal inference, testing, and predictive modeling. You'll play a pivotal role in understanding and improving how we engage customers, working with large-scale data in collaboration with partners across Business, Marketing, Product, and Engineering. This is a unique opportunity to influence the future of marketing at Apple through innovative, customer-first approaches-and to do it in a supportive, growth-minded environment that values diverse perspectives and inclusive collaboration.
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.
Requirements
- Experience in a digital subscription or large-scale e-commerce business.
- Deep understanding of marketing effectiveness measurement, particularly through causal inference methods.
Nice-to-haves
- Master's or Ph.D. in a quantitative field is a plus, but not required.
