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.
Description
We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Apple Maps search services, features, monetization initiatives and Apple Business. You'll partner closely with Product, Design, Engineering, and Marketing to define success metrics, evaluate product performance, understand user behavior, and business opportunities, and drive data-informed decisions. Our day-to-day work crosses many functional areas, including experiment design, AB testing, funnel analysis, other exploratory data analysis, AI/ML modeling, data mining, and more.
Minimum Qualifications
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
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
Solid communication and presentation skills
Preferred Qualifications
Prior industry experience with AB testing and causal inference
Experience in information retrieval
Prior proven industry experience with large data sets using technologies like Hadoop and Spark
Experience writing pipelines for automating analytics tasks at scale
Experience mentoring junior data scientists and leading projects of varying sizes and scopes
Experience with monetization analytics
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 82c74d00ca3159b5ad0779d6ff45c800
- Posted 27 days ago
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