Data Scientist

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.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.ResponsibilitiesBuild 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 managementDesign, create and validate actionable metrics, at both the component level and to measure overall user engagement and experienceDesign effective experiments for evaluating complex data and machine learning-based systemsDevelop models and analyses to mine large volume of data, extract insights, and recommend opportunities for product improvementsAutomate analyses and pipelines via SQL and Python/Scala-based ETL frameworksCommunicate insights to partner teams to influence product direction with dataUse data intuition to translate hard product goals and business problems into solvable data science problemsExplore rapidly evolving ML and GenAI techniques, prototyping new approaches to assess their applicability to Maps-related problemsMinimum QualificationsMS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain3+ years experience with data analysis at web scale or relevant work experienceProficient 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 solutionsSolid communication and presentation skillsPreferred QualificationsPrior industry experience with AB testing and causal inferenceExperience with spatial data analysisPrior proven industry experience with large data sets using technologies like Hadoop and SparkExperience writing pipelines for automating analytics tasks at scaleDomain-specific knowledge of the mapping/transportation/GIS industryExperience mentoring junior data scientists and leading projects of varying sizes and scopesAt 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.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 At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants