Data Scientist - Apple Maps Evaluation

Apple

Apple thrives on the diverse ideas and creativity of its team, committed to crafting innovations that improve lives worldwide. The Apple Maps team is seeking a Data Scientist to harness user data for insightful decision-making, contributing to the global mission of creating the premier mapping experience.

In this role you can expect to have the responsibilities:

• Evaluate and refine complex Maps data for accuracy and reliability.
• Collaborate with Engineering, Product, and Operations teams to enhance data services.
• Engage in experimental design, AB testing, and exploratory data analysis.
• Develop data products and scalable tools using Python or Scala.
• Design metrics to measure user engagement and experience.
• Build models and analyses to identify opportunities for product improvements.
• Automate analysis and data pipelines using SQL and Python/Scala.

This role comes with the following benefits:

• Opportunity to participate in Apple's discretionary stock programs.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Educational expense reimbursement, including tuition.

This role requires you to have:

• Proficiency in programming languages such as Python, Scala, or Java.
• Expertise in database language SQL.
• Strong communication and presentation capabilities.
• Ability to translate business needs into technical solutions using statistical methods.

You would benefit from having:

• Experience with AB testing and causal inference.
• Expertise in spatial data analysis.
• Proficiency with large data technologies like Hadoop and Spark.
• Experience in automating analytics via scalable pipelines.
• Knowledge of the mapping, transportation, or GIS industries.
• Capability to mentor junior data scientists and lead projects.

Apple supports equal opportunity in employment and values diversity and inclusion. The company takes affirmative action to ensure equal opportunity for all without regard for legally protected characteristics.