Data Scientist

Join Apple Maps, where our mission is to build the best map in the world. As a Data Scientist in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to inform critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you'll have runway to own significant projects, make a tangible impact, and contribute your unique perspective to a team committed to creating something truly wonderful.

Description

We are seeking a talented and experienced Data Scientist to join our cross-functional team dedicated to understanding and optimizing user engagement, retention, and growth within Apple Maps. You will partner closely with Product and Program teams, leveraging data to inform strategic direction and prioritization. This role offers significant scope to define and build the next generation of metrics and analytical frameworks. We're looking for a creative problem-solver who can innovate within our robust privacy commitments, evolving our current metrics foundation into a comprehensive insights platform. Your day-to-day responsibilities will span the full data lifecycle, from exploratory data analysis and metrics design to conducting deep dives, crafting executive reports and presentations, and building intuitive dashboards.","responsibilities":"Design, create, and validate new metrics in the area of user engagement, retention, and growth.

Build data products such as user segmentation models, churn propensity scores, and growth forecasting.

Conduct in-depth analysis and deep dives to answer key business questions, uncover insights into feature usage, and identify drivers of engagement and retention.

Communicate with partners and leadership to influence product strategy and roadmap.

Transform ambiguous product goals and business problems into well-defined and solvable data science challenges.

Contribute to tools and automated data pipelines (primarily using Python and SQL-based ETL frameworks) to streamline analysis and improve efficiency.

Preferred Qualifications

Prior industry experience with user engagement analytics and/or causal inference

Prior proven industry experience with large data sets using technologies like Hadoop and Spark

Experience writing pipelines for automating analytics tasks at scale

Experience working in highly cross-functional teams

Experience leading projects of varying sizes and scopes

Minimum Qualifications

MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain

2+ years experience with data analysis at web scale or relevant work experience

Proficient in Python

Proficient in at least one database language (e.g., SQL, Snowflake)

Strong communication and presentation skills

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .