Apple-posted about 1 year ago
$136,300 - $248,700/Yr
Full-time • Mid Level
Cupertino, CA
Computer and Electronic Product Manufacturing

The Data Scientist position at Apple focuses on evaluating and improving the accuracy and reliability of Maps data. The role involves working collaboratively with cross-functional teams to harness user data for enhancing Apple Maps, ensuring that the data remains relevant and up-to-date. The Data Scientist will engage in various tasks including experimental design, data analysis, and model development to support decision-making processes within the organization.

  • Evaluate intricate layers of Maps data to ensure accuracy and reliability.
  • Identify areas for improvement in Maps data.
  • Collaborate with Engineering, Product, and Operation teams on basemap data and service algorithms.
  • Build data products and scalable tools using Python or Scala.
  • Design and validate actionable metrics to measure user engagement and experience.
  • Create effective experiments for evaluating complex data and machine learning systems.
  • Develop models and analyses to extract insights from large volumes of data.
  • Automate analyses and pipelines using SQL and Python/Scala-based ETL frameworks.
  • Communicate insights to partner teams to influence product direction.
  • 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 into technical requirements using statistical techniques.
  • Solid communication and presentation skills.
  • Prior industry experience with AB testing and causal inference.
  • Experience with spatial data analysis.
  • 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.
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Discretionary bonuses or commission payments.
  • Relocation assistance.
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