Data Scientist

Cupertino, California, United States Software and Services

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.

We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on evaluating routing service quality, ensuring its accuracy and reliability, and identifying areas of improvements. We work directly with the Engineering, Product, and Operation teams responsible for routing 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.

• Build data products (feature datasets, analyses, models, etc.) and scalable tools (typically in Python or Scala) to drive hypothesis generation and support collaborative decision-making with our partner teams in engineering and product management
• Design, create and validate actionable metrics, at both the component level and to measure overall user engagement and experience
• Design effective experiments for evaluating complex data and machine learning-based systems
• Develop models and analyses to mine large volume of data, extract insights, and recommend opportunities for product improvements
• Automate analyses and pipelines via SQL and Python/Scala-based ETL frameworks
• Communicate insights to partner teams to influence product direction with data
• Use data intuition to translate hard product goals and business problems into solvable data science problems
• Explore rapidly evolving ML and GenAI techniques, prototyping new approaches to assess their applicability to Maps-related problems

• 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

• 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

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 $144,600 and $263,800, 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…