Data Scientist- Maps Evaluation

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. 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, and Apple Business Connect. We work directly with the Engineering and Product teams responsible for search, recommendation, and other algorithms that impact our millions of users every day. Our day-to-day work crosses many functional areas, including experiment design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more. Your role: * Build data products (feature datasets, analyses, models, etc.) and scalable tools (typically in Python or Scala) to drive hypothesis generation and support collaborative decision-making with our partner teams in engineering and product management * Design, create and validate actionable metrics, at both the component level and to measure overall user engagement and experience * Design effective experiments for evaluating complex data and machine learning-based systems * Develop models and analyses to mine large volume of data, extract insights, and recommend opportunities for product improvements * Automate analyses and pipelines via SQL and Python/Scala-based ETL frameworks * Communicate insights to partner teams to influence product direction with data * Use data intuition to translate hard product goals and business problems into solvable data science problems

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

This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.

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 .

Apply Now