App Store Senior Marketing Data Scientist

Partner with Business and Engineering to define data collection, reporting requirements, metrics, and aggregates for analysis, ETLs, reporting, experimentation and machine learning.

Investigate large-scale data to uncover trends and identify key insights that will propel marketing strategies.

Determine marketing's incremental effect on our App Store business, primarily through paid channels. Build datasets and automated dashboards to monitor channel and campaign performance.

Help design marketing campaign touchpoint along customer journey and optimize engagement.

Develop effective attribution logic that serve as benchmarks for optimization.

Build datasets and automated dashboards to monitor channel and campaign performance.

Provide ad-hoc analysis and support for tentpole campaigns.

Establish propensity models to refine campaign audience selection.

Explore applying cutting-edge generative AI technologies to drive increased business value.

Collaborate with Business, Marketing, Finance, and Executive teams to generate regular presentations for C-level executives.

Partner 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 business

Strong proficiency with SQL, Python or R

4+ years applied experience in building sophisticated datasets that enable data science and BI. Experience working with structured and unstructured data stored in distributed files systems

Solid experience working in marketing campaign measurement for both paid and non-paid campaigns

Experience with standard marketing data science analysis to include experimental design, linear regression, clustering, survival, and quasi-causal analysis

Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action

Bachelors 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 platform

Skilled at measuring advertising value through causal inference techniques

Advanced degree in a related field preferred