Job Overview:
Apple is seeking a talented and experienced Data Scientist to join the Maps Evaluation team, focusing on deep evaluation of Apple Maps search services, features, and Apple Business Connect. The role involves building data products and scalable tools in Python or Scala, designing actionable metrics, and conducting experiments to evaluate machine learning-based systems. Responsibilities include developing models to mine large datasets, automating analyses via SQL and Python/Scala-based ETL frameworks, and communicating insights to influence product direction. The ideal candidate will have a strong background in data analysis, AB testing, and machine learning, with proficiency in Python and SQL, as well as experience with large-scale data technologies like Hadoop and Spark.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for the Data Scientist- Maps Evaluation position at Apple, emphasize your technical proficiency in Python and SQL, as these are critical for the role. Highlight any experience with large-scale data analysis, AB testing, and machine learning modeling, as these skills are directly relevant to the job. Showcase projects where you’ve translated business questions into technical solutions, as this demonstrates your ability to bridge the gap between data science and product development. If you have experience with Hadoop, Spark, or other big data technologies, make sure to include these details. Additionally, mention any leadership or mentoring experience, as this is a preferred qualification. Use quantifiable achievements to illustrate your impact, such as improvements in metrics or efficiency gains from automation.
For the interview, prepare to discuss your experience with data analysis and machine learning in detail, focusing on specific projects where you’ve evaluated complex systems or designed experiments. Be ready to explain how you’ve used Python, SQL, and other tools to solve real-world problems. The interviewer will likely assess your ability to communicate insights effectively, so practice presenting your findings clearly and concisely. Expect questions about AB testing and causal inference, as these are key components of the role. Additionally, be prepared to discuss how you’ve worked with cross-functional teams, as collaboration with engineering and product management is a core aspect of the job. Demonstrating your problem-solving skills and data intuition will be crucial, as the interviewer will want to see how you approach challenging product goals and translate them into solvable data science problems.