Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
In today’s fast-paced, data-centric marketplace, we are seeking a dedicated, curious, passionate, and results-oriented individual who excels in critical thinking and brings deep expertise in analyzing marketing data to join our Marketing Data Science team.
Description
The Data Scientist will play a key role in enabling insights for marketing campaign performance. This individual will provide measurement and campaign optimization insights for Apple’s payment products to inform and shape marketing strategy and user experience. The successful candidate be a thought partner to the marketing team, will work closely with the collaborators to understand their goals and critical metrics, and then analyze data to provide actionable recommendations.
Our culture is about getting things done iteratively and rapidly, with open feedback and discussion. We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.
Minimum Qualifications
Strong technical skills in SQL and Python
Strong understanding of AI/ML techniques, including regression, classification, clustering, segmentation, and predictive modeling, deep learning models, and LLMs.
Experienced with GenAI capabilities to scale analyses and shorten lead times
Proficient experience with Tableau to visualize and deliver actionable insights.
Preferred Qualifications
Proficiency in SQL and Python
Expertise in causal inference modeling and advanced statistical/ econometrics models, including regression and time series modeling.
Experience with GenAI/Agentic AI capabilities and models, including but not limited to: GenAI (Claude, Gemini, GPT), LLM ‘text-to-feature’, Agentic AI
Experience integrating AI/ML outputs into marketing or business processes to drive automation and performance.
Outstanding verbal and written communication skills.
Relevant background in Analytics and Data Science in Marketing, Financial Products and Services,Payments, or Customer Analytics.
Master’s or Ph.D. in:
Data Science, Statistics, Economics/Econometrics, Computer Science, Marketing Science, Operations Research, Mathematics, Engineering, or a related quantitative field.
Responsibilities
Conduct descriptive, predictive, and causal inference analyses on large-scale datasets to uncover actionable insights and identify opportunities for optimization.
Measure marketing performance across channels using advanced statistical, econometric, and AI/ML approaches.
Build data/model pipelines to automate recurring data pull and modeling processes.
Leverage Tableau and Keynote to visualize insights and deliver results in business presentations and dashboards.
Communicate findings clearly to technical and non-technical audiences.
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
