Data Scientist, Maps Evaluation

AppleCupertino, CA

About The Position

Apple Maps is changing, and data is in the driver’s seat. Our mission is to build the best map in the world. We work in a fast-paced data-focused environment where Data Scientists are given runway to own big projects and drive impact across the Maps organization. We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Apple Maps search services, features, monetization initiatives and Apple Business. You'll partner closely with Product, Design, Engineering, and Marketing to define success metrics, evaluate product performance, understand user behavior, and business opportunities, and drive data-informed decisions. Our day-to-day work crosses many functional areas, including experiment design, AB testing, funnel analysis, other exploratory data analysis, AI/ML modeling, data mining, and more.

Requirements

  • 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 Python
  • Proficient in at least one database language (e.g., SQL, Snowflake)
  • Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions
  • Solid communication and presentation skills

Nice To Haves

  • Prior industry experience with AB testing and causal inference
  • Experience in information retrieval
  • Prior proven industry experience with large data sets using technologies like Hadoop and Spark
  • Experience writing pipelines for automating analytics tasks at scale
  • Experience mentoring junior data scientists and leading projects of varying sizes and scopes
  • Experience with monetization analytics

Responsibilities

  • Define success metrics
  • Evaluate product performance
  • Understand user behavior and business opportunities
  • Drive data-informed decisions
  • Experiment design
  • AB testing
  • Funnel analysis
  • Exploratory data analysis
  • AI/ML modeling
  • Data mining
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