Apple Maps is changing, and data is in the driver’s seat. Our mission is to build the best map in the world. We work in a fast-paced data-focused environment where Data Scientists are given runway to own big projects and drive impact across the Maps organization.
Requirements
- Proficient in Python
- Proficient in at least one database language (e.g., SQL, Snowflake)
- Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions
- Prior work experience with human-labeled datasets
- Experience assessing the quality of unreleased product features
- Prior proven industry experience with large data sets using technologies like Hadoop and Spark
- Experience writing pipelines for automating analytics tasks at scale
Responsibilities
- Design, create and validate actionable metrics, at both the component level and to measure overall user engagement and experience
- Work with human-labeled datasets and relevance judgments to evaluate ranking algorithms
- Conduct exploratory data analyses to mine large volume of data, extract insights, and recommend opportunities for search product improvements
- Automate analyses and pipelines via SQL and Python-based ETL frameworks
- Build data products (feature datasets, analyses, models, etc.), dashboards and automation to drive hypothesis generation and support collaborative decision-making with our partner teams in engineering and product management
Other
- Use data intuition to translate hard product goals and business problems into solvable data science problems
- Communicate insights to partner teams to influence product direction with data
- 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
- Solid communication and presentation skills
