Findmy Data ScientistApple 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.

DescriptionWe are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Maps services and features. We work directly with the Engineering and Product teams responsible for search, routing, places, FindMy, and other products that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experiment design, AB testing, exploratory data analysis, metrics design, generative analytics, data mining, and more.

ResponsibilitiesBuild data products (datasets, analyses, models, etc.) and tools (typically in Python or Scala) to drive hypothesis generation and support collaborative decision-making with our partner teams in engineering and product management.

Create and validate actionable metrics, at both the component level and to measure overall user engagement.

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 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.

Minimum QualificationsMS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain; (will consider MS with significant related experience)

3

• years experience with data analysis at web scale or relevant work experience

Proficient in Python and SQL

Strong communication and presentation skills

• Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions
• Preferred QualificationsPrior industry experience writing Spark/Pyspark for automating analytic tasks at scale

Prior industry experience with AB testing

Prior experience in cloud-based technologies (e.g., AWS)

Experience writing pipelines for automating analytics tasks at scale

Domain-specific knowledge of the mapping/transportation/GIS industry

Pay & BenefitsAt 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 $258,600, 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.

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.