Full-Time

Data Scientist

Apple Maps Evaluation

Confirmed live in the last 24 hours

Apple

Apple

10,001+ employees

Designs and sells consumer electronics and software

VR & AR
Consumer Software
Fintech
Consumer Goods

Compensation Overview

$136.3k - $248.7kAnnually

+ Bonus + Commission

Mid, Senior

Cupertino, CA, USA

Eligible for discretionary bonuses or commission payments as well as relocation.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
Apache Spark
SQL
Java
Scala
Hadoop
Data Analysis
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 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 solutions
  • Solid communication and presentation skills
  • Prior industry experience with AB testing and causal inference
  • Experience with spatial data analysis
  • Prior proven industry 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 of varying sizes and scopes
Responsibilities
  • Evaluate intricate layers of Maps data, ensuring its accuracy and reliability, and identifying areas of improvements
  • Work directly with the Engineering, Product, and Operation teams responsible for basemap data and service algorithms
  • Cross many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more
  • Build 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 partner teams in engineering and product management
  • Design, create and validate actionable metrics, at both the component level and to measure overall user engagement and experience
  • 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

Apple Inc. designs and sells a variety of technology products and services, including iPhones, iPads, Mac computers, Apple Watches, and Apple TVs. The company also offers services like the App Store, Apple Music, iCloud, and Apple Pay. Its products work together seamlessly, providing users with a cohesive experience across devices. Apple differentiates itself from competitors through its integrated approach, where hardware and software are developed in tandem, ensuring high quality and user satisfaction. The company's goal is to enhance customer loyalty and drive financial success through continuous innovation and a strong focus on user experience.

Company Stage

IPO

Total Funding

$619.1K

Headquarters

Cupertino, California

Founded

1976

Simplify Jobs

Simplify's Take

What believers are saying

  • The Proxima chip could enhance connectivity and user experience by 2025.
  • iPhone Mirroring strengthens Apple's ecosystem with seamless device interaction.
  • AirTag 2 improvements could boost sales in Apple's accessories segment.

What critics are saying

  • Amazon's 'Alexa Announcements' could challenge Apple's HomePod market share.
  • iPhone Mirroring may raise security concerns within the Apple ecosystem.
  • Proxima chip development may face delays, impacting product release timelines.

What makes Apple unique

  • Apple's integrated hardware and software create a seamless user experience across devices.
  • The Apple Card enhances customer loyalty with up to 3% Daily Cash back.
  • Apple's trade-in program supports sustainability and incentivizes device upgrades.

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