Responsibilities

• 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.
• 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.

Requirements

• 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
• 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

Preferred

• 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