Data Scientist, Maps Evaluation

Cupertino, CA, US • Posted 3 days ago • Updated 11 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Cross-functional Team
  • Evaluation
  • Product Design
  • Marketing
  • Artificial Intelligence
  • Machine Learning (ML)
  • Modeling
  • Data Mining
  • Computer Science
  • Statistics
  • Physics
  • Operations Research
  • Data Analysis
  • Python
  • Database
  • SQL
  • Snow Flake Schema
  • Communication
  • Presentations
  • A/B Testing
  • Information Retrieval
  • Apache Hadoop
  • Apache Spark
  • Writing
  • Mentorship
  • Monetization
  • Analytics

Summary

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. \n

MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain\n3+ years experience with data analysis at web scale or relevant work experience\nProficient in Python\nProficient in at least one database language (e.g., SQL, Snowflake) \nCapable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions \nSolid communication and presentation skills

Prior industry experience with AB testing and causal inference\nExperience in information retrieval\nPrior proven industry experience with large data sets using technologies like Hadoop and Spark\nExperience writing pipelines for automating analytics tasks at scale\nExperience mentoring junior data scientists and leading projects of varying sizes and scopes\nExperience with monetization analytics
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 82c74d00ca3159b5ad0779d6ff45c800
  • Posted 3 days ago
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