Job Details

Data Scientist, Apps

Cupertino, California, United States

Software and Services

Summary

Posted: Oct 14, 2025

Role Number: 200626120-0836

We’re idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards forward-thinking, creative thinking and hard work. And none of us here would have it any other way . Does an exciting, dynamic, and fast-paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining our team!

Description

The Apps Data Science team is looking for an outstanding Data Scientist who will focus on applied research, exploratory analysis and development of innovative components to grow engagement of users, specifically in the areas of predictive behavior and life cycle analytics. We support user growth of subscription services, product and feature development, content expansion, and optimization. We cover a wide area of the data spectrum including statistical modeling, causal inference, machine learning, and product analytics.

Responsibilities

• Develop models and provide insights to evaluate product launches and identify development opportunities.

• Partner with engineers, product teams, business leaders, designers, and others to enhance user experiences and drive business growth.

• Engage with business teams to find opportunities, understand requirements, and convert them into technical solutions.

• Oversee large projects from start to finish, assess risks, and evaluate impact, while maintaining regular communication with collaborators and leadership.

• Work with large datasets using tools like Spark SQL, command line, and scripting languages.

• Conduct hypothesis-driven exploratory analysis, feature engineering, and select suitable AI/ML modeling techniques.

• Design and maintain predictive models and pipelines using advanced machine learning and data modeling techniques.

• Explore supervised and unsupervised ML/AI solutions with structured and unstructured data.

• Effectively convey complex concepts and analysis results to senior management.

Minimum Qualifications

• M.Sc. in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas.

• ~4 years experience in the field of data science, with ~2 years experience leading the development of data products, insights, and building machine learning modeling capabilities.

• Proficient in writing code in a combination of the following languages: C++, R, Java, Python, Perl, Hadoop (MapReduce, Hive, Spark SQL), and SQL.

• Practical experience and thorough theoretical understanding of advanced quantitative methods, statistical & machine learning model development, including regression, classification, clustering, anomaly detection, time-series analysis, deep learning, and ground breaking AI tools.

• Excellent presentation skills, distilling sophisticated analysis and concepts into concise business-focused takeaways.

• Strong skills in managing priorities and collaborating with diverse groups of collaborators, including engineering, product, business, design, etc.

• Ability to extract product insights from data and identify the stories behind the patterns.

• Practical experience solving real-world problems using creative methods and researching state-of-the art.

• Delivery-oriented, able to lead and implement modeling efforts from start to finish,

• Excellent interpersonal skills, and a self starter.

Preferred Qualifications

• Ph.D. in the fields of Statistics, Applied Mathematics, Machine Learning, CS, Predictive Analytics, or similar academic areas.

• Strong product sense and a passion for user experience.

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 $141,800 and $213,700, 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 (Opens in a new window) .

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 (Opens in a new window) .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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 (opens in a new window) 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.