Senior AI Data Scientist

1 week ago

Sunnyvale, California, United States Apple Full time $120,000 - $180,000 per year
Marcom is the creatively-led global team that oversees Apple's consumer facing marketing. We ensure the flawless development and execution of world-class communications across all medias and platforms. Every day, hundreds of millions of Apple customers around the world interact with our products. We drive the strategy and creative work that provide both new and existing customers with simple, engaging and inspiring marketing experiences.

The Marcom Data Science team handles Analytics for all of Apple's outbound marketing communications. We're a dynamic, innovative team that offers excellent opportunities to learn and run Analytics at scale while working with some of the industry's finest creative minds. It's an outstanding team and a truly unique opportunity to shape how Marcom thinks about data and insights in the AI era.

Description
This position works with advanced machine learning and AI to personalize interactions, optimize marketing performance, and improve customer experiences across all channels. This role is at the intersection of data science, AI, and customer experience, partnering with Interactive, Strategy, and Data Engineering teams to explore new opportunities, build scalable models, and introduce innovative AI solutions into Apple's marketing ecosystem.

Minimum Qualifications
10 or more years of experience in analytics, data science, or related fields, in role(s) tied to driving impactful results in marketing or business growth.
Proficient in Python (or equivalent language) with experience using ML/AI libraries and frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
Skilled in statistical modeling, experimental design, and data analysis.
Experienced in working with large datasets in Snowflake, SQL and Tableau.

Preferred Qualifications
Production / marketing environment experience with delivering end-to-end machine learning or AI projects.
Excellent communication and storytelling skills with the ability to translate data insights to clear business and customer impact.
Knowledge of CRM and lifecycle marketing analytics.
Experience in a large technology company or with a similarly complex, global brand.
Familiarity with cloud data platforms (e.g., Databricks, AWS, GCP).
Exposure to additional BI or visualization tools beyond Tableau (e.g., Looker, Power BI).
Experience designing and analyzing experiments in digital marketing environments.
Strong presentation skills, including delivering insights to senior stakeholders.

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