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 Senior Data Scientist, Apple Maps - Cupertino, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200252255 / Latpro-3797612 
Date posted: Jun-07-2021
State, Zip: California, 95014

Description

Senior Data Scientist, Apple Maps

Santa Clara Valley (Cupertino) , California , United States

Software and Services

Summary

Posted: Jun 7, 2021

Weekly Hours: 40

Role Number: 200252255

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 dynamic 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 Maps services and features. We work directly with the Engineering and Product teams responsible for quantifying, measuring and monitoring usage and user experiences across Maps platform. Our day-to-day work crosses many functional areas, including experiment design, AB testing, exploratory data analysis, generative analytics, and more.

Key Qualifications

  • Key Qualifications
  • You have proven experience with data analysis at web scale.
  • You're experienced with at least one programming/scripting language (e.g., Python, Scala, Java).
  • Your background includes at least one database language (e.g., SQL).
  • You have strong communication and presentation skills.
  • Nice-to-have Experience
  • Experience writing Scala for automating analytic tasks at scale.
  • You bring background in AB testing.
  • You have prior proven industry experienc with large data sets using technologies like Hadoop, Hive, and Spark.
  • Background in information retrieval.
  • Domain-specific knowledge of the mapping/transportation industry.

Description

You'll build 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 hard product goals and business problems into solvable data science problems. Help to guide junior data scientists.

Education & Experience

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



Requirements

See job description

 

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