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Apple Senior Marketing Data Scientist United States, California 522643274
Yesterday
Collaborate with cross-functional teams (Business, Engineering, Product, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting.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.Build predictive models, including LTV and propensity models, to support campaign optimization and audience targeting.
- 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.
- 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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