Job Overview:
Apple Maps Evaluation team is seeking an experienced data scientist to join their Data Science Data Insights team, focusing on metrics that provide a holistic view of Apple Maps product quality. The role involves deep diving into data, understanding quality measures, discovering patterns, and driving product changes based on findings, while collaborating with Data Infrastructure, Maps Client, and Engineering teams. Responsibilities include metrics design, instrumentation, data set design, quality checks, batch and real-time applications, and reporting, requiring strong SQL and Python skills, as well as experience in version control and cross-functional communication.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
To tailor your resume for the Data Scientist – Maps position at Apple, focus on highlighting your quantitative data analysis experience, particularly in SQL and Python. Emphasize any projects where you designed analytic solutions for open-ended problems or worked on data quality checks. Include specific examples of how you collaborated with cross-functional teams to drive insights or improvements. If you have experience with preferred technologies like Airflow, Docker, Kubernetes, or Big Data tools, make sure to mention them prominently. Use metrics and tangible outcomes to demonstrate your impact, such as ‘Improved data quality by X%’ or ‘Designed a dashboard that reduced reporting time by Y hours.’ Your resume should also reflect your ability to communicate technical content to non-technical stakeholders, as this is a key requirement for the role.
During the interview, expect questions that test your technical skills in SQL and Python, as well as your ability to analyze data and design metrics. Be prepared to discuss past projects where you identified patterns or insights that led to product changes. The interviewer will likely assess your problem-solving approach, so practice explaining how you tackle open-ended problems. Since the role involves cross-functional collaboration, you may also face behavioral questions about working with teams from different disciplines. Demonstrate your communication skills by clearly articulating technical concepts. If you have experience with the preferred technologies, be ready to discuss how you’ve used them in a professional setting. Finally, show enthusiasm for Apple Maps and its data ecosystem, as the interviewer will want to see your passion for the product and its impact.