Senior Product Data Scientist, Media Services
Cupertino, California, United States
Software and Services
Summary
Posted: Jul 17, 2025
Weekly Hours: 40
Role Number: 200613087
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
Our team is looking for a Data Scientist to help support the product and business teams with data-driven solutions for insights on content performance, strategy, and customer experience in our apps. As a key member of our diverse and multi-faceted organization, we have the rare and exciting opportunity to work with datasets of unique magnitude, richness, and dedication to customer privacy that will frequently require innovative approaches. We work collaboratively with partners across Business, Marketing, Product, Content, and Engineering daily to deliver material customer and business value.
Description
Provide data-driven insights to support decision-making across product, business, and creative teams focused on Apple Services.
Inform our understanding of how users discover and engage with content and subscription offerings.
Define engineering and business intelligence requirements for new datasets and data products to enable product feature and content launches.
Collaborate with the broader data science organization on cross-functional initiatives to ensure a comprehensive view of the business and enhance our work with machine learning insights.
Design, implement, and evaluate A/B tests and experiments to continuously improve the product experience.
Develop and deploy machine learning models to predict business outcomes and drive operational strategies.
Partner with business stakeholders to shape and guide roadmaps, influence priorities, and support product strategy with data.
Minimum Qualifications
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
Proficient in extracting insights from large datasets using programming languages such as Python and SQL.
Skilled in designing and executing experimentation strategies, including test definition and results measurement.
Skilled in applying statistical methods to business problems including classification, segmentation, and forecasting.
Experienced in applying data science techniques to solve ambiguous, real-world problems and clearly communicate insights to stakeholders.
Excellent interpersonal and communication skills, with the ability to collaborate effectively across technial and non-technical teams.
Preferred Qualifications
Hands-on experience with app-based engagement and clickstream data.
Experience with advance causal inference methods.
Experience with distributed computing frameworks like Spark.
Experience in using AI to augment data science workflows.
Experience in media or entertainment industry.
Passion for film, television, and/or music domains.
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 $172,100 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) .
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) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.
Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
