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Apple Senior Data Scientist- Maps Evaluation United States, California, Cupertino 986871595
06.05.2025
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
- MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain
- 6+ 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 in translating ambiguous business questions and needs into clear technical requirements, and using statistical techniques to find solutions
- Excellent verbal and written communication skills, with proven experience communicating complex technical concepts to senior executives to drive data-informed decision
- Strong ability to manage priorities and demonstrated leadership in cross-functional collaboration with teams across engineering, product, business, design, and more
- 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
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