Job Details

Role Number: 200626721-3956

Summary

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.

• Skilled in Program Management in the Machine Learning and AI arena.

• Proficient in statistical modeling, experimental design, and data analysis.

• Experienced in working with large datasets in Snowflake, SQL and Tableau.

Preferred Qualifications

• Excellent communication and storytelling skills with the ability to translate data insights to clear business and customer impact.

• Experience in a large technology company or similarly complex, global environment.

• 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.

• Knowledge of CRM and lifecycle marketing analytics.

• Strong presentation skills, including delivering insights to senior stakeholders.

• Proficient in Python (or equivalent language) with experience using ML/AI libraries and frameworks (e.g., scikit-learn, PyTorch, TensorFlow).

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $203,300 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.

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. Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .