Data Scientist - Apple Maps Evaluation

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! Apple Maps is changing, and data is in the driver's seat. Our mission is to build the best map in the world. As Data Science organization, our goal is to harness the power of user data to help Maps make great decisions. We work in a data-driven environment where Data Scientists are instrumental in keeping the data that powers Apple Maps up-to-date and relevant.

Description

We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on evaluating intricate layers of Maps data, ensuring its accuracy and reliability, and identifying areas of improvements. We work directly with the Engineering, Product, and Operation teams responsible for basemap data and service algorithms that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more.

Responsibilities

• Data Product Development: Build and maintain feature datasets, in-depth analyses, and predictive models to support data-driven decision-making.
• Tooling & Automation: Create scalable tools and automated pipelines (primarily using Python or Scala and SQL-based ETL frameworks) to streamline analysis and improve efficiency.
• Metrics & Measurement: Design, validate, and implement actionable metrics to measure user engagement, experience, and component-level performance.
• Experimentation: Develop and execute effective experiments to evaluate the performance of complex data systems and machine learning models.
• Data Mining & Insight Generation: Analyze large datasets to extract meaningful insights, identify trends, and recommend opportunities for product improvement.
• Cross-Functional Collaboration: Partner with engineering, product management, and design teams to translate business problems into solvable data science questions and influence product direction with data-driven insights.

Minimum Qualifications

• MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain
• 3+ years experience with data analysis at web scale or relevant work experience
• Proficient in at least one programming/scripting language (e.g., Python, Scala, Java)
• Proficient in at least one database language (e.g., SQL)
• Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions
• Solid communication and presentation skills

Preferred Qualifications

• Prior industry experience with AB testing and causal inference
• Experience with spatial data analysis
• Prior proven industry experience with large data sets using technologies like Hadoop and Spark
• Experience writing pipelines for automating analytics tasks at scale
• Domain-specific knowledge of the mapping/transportation/GIS industry
• Experience mentoring junior data scientists and leading projects of varying sizes and scopes

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.

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 .

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Client-provided location(s): Cupertino, CA

Job ID: apple-200627526-0836

Employment Type: OTHER

Posted: 2025-11-04T19:15:27