Enter a job title or keyword

App Store Senior Marketing Data Scientist

Apple


Job Location:

Culver, CA - USA

Monthly Salary: Not provided by the employer
Posted: 3 July 2026 (30+ days ago)
Application Deadline: 30 September 2026
Vacancies: 1 Vacancy

Job Summary

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps award-winning shows and movies immersive music in spatial audio world-class workouts and meditations super fun games and Apple Media Products Data Science u0026 Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer are currently seeking an experienced data scientist who is passionate about motivating change at the intersection of data and marketing. As a Marketing Data Scientist for Apple Services you will help drive growth in media services and evolve our marketing programs through attribution causal inference A/B testing and LTV prediction modeling. Your work will directly influence Services strategy for driving engagement and revenue growth. nnAs a key member of our diverse and dynamic organization youll have the rare and rewarding opportunity to work with datasets of unique magnitude richness and dedication to customer privacy that will frequently require innovative approaches. Youll work collaboratively with partners across Business Marketing Product and Engineering daily to deliver material customer and business value.

Partner with Business and Engineering to define data collection reporting requirements metrics and aggregates for analysis ETLs reporting experimentation and machine large-scale data to uncover trends and identify key insights that will propel marketing marketings incremental effect on our App Store business primarily through paid channels. Build datasets and automated dashboards to monitor channel and campaign performance. nnHelp design marketing campaign touchpoint along customer journey and optimize engagement. nnDevelop effective attribution logic that serve as benchmarks for datasets and automated dashboards to monitor channel and campaign ad-hoc analysis and support for tentpole propensity models to refine campaign audience applying cutting-edge generative AI technologies to drive increased business with Business Marketing Finance and Executive teams to generate regular presentations for C-level with other Apple organizations on data gathering data governance evangelizing key performance indicators and democratizing data.

4 years of demonstrated ability in a Data Scientist or Data Analyst role preferably for a digital media MarTech digital subscription business or technology businessnStrong proficiency with SQL Python or Rn4 years applied experience in building sophisticated datasets that enable data science and BI. Experience working with structured and unstructured data stored in distributed files systemsnSolid experience working in marketing campaign measurement for both paid and non-paid campaignsnExperience with standard marketing data science analysis to include experimental design linear regression clustering survival and quasi-causal analysisnCurious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive actionnBachelors degree in Computer Science Economics Engineering Mathematics Data Science Statistics or equivalent professional experience

Experience in a digital subscription business or large-scale e-commerce platformnSkilled at measuring advertising value through causal inference techniquesnAdvanced degree in a related field preferred

Required Experience:

Senior IC


About Company

Company Logo

Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more

View Profile View Profile