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.
• 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.
• Help design marketing campaign touchpoints along customer journeys to grow engagement.
• Establish propensity models to refine campaign audience selection.
• Determine Marketing's incremental effect on our services businesses.
• 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.

Requirements

• 5+ years of experience extracting business insights from large datasets, specifically employing programming languages like Python and SQL
• Demonstrated ability in a Data Scientist or Data Analyst role, preferably for a digital media, MarTech, digital subscription business, or technology business
• Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between marketing, business and analytics teams
• Experience with standard marketing data science analysis to include experimental design, linear regression, clustering, survival, and quasi-causal analysis, with solid experience measuring both paid and non-paid campaigns
• 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

Preferred

• Experience in and/or passion for the media and entertainment industry
• Experience analyzing the performance of subscription businesses and familiarity with subscription lifecycle metrics
• Skilled at measuring advertising value through causal inference techniques
• Advanced degree in a related field preferred

Benefits

• Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
• Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan.
• You\'ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition.
• Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.