Senior Data Scientist, ASE iCloud Data Organization [Product Strategy]
Apple
Summary
Description
Minimum Qualifications
- 5+ years in an analytics or data science role.
- Strong product sense as demonstrated by experience influencing or driving product strategy.
- Experience driving alignment across different stakeholders who may at times have strong and diametrically opposed views by leveraging data and decision frameworks - a hybrid between a data scientist and a product manager.
- You have excellent verbal and written communications skills and experience communicating technical concepts to senior executive audiences in order to influence decisions with data.
- You think about data in terms of statistical distributions and have a big enough analytics toolbox (e.g. Statistics, Machine Learning) to know how to find patterns in data, identify targets for performance, and identify sources of variance about those targets.
- You use good judgment balancing art and science when visually communicating information (e.g. Tableau, Superset, ggplot).
- You have engineered information out of massive and complex datasets (e.g. Hive, Spark, Druid).
- You have proven experience in SQL and at least one programming language (e.g., Python, R, Scala) and are comfortable developing code in a team environment (e.g., git, notebooks, testing).
- You are self-motivated and curious with proven creative and critical thinking capabilities and a highly developed aim to improve how things work.
- You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
Key Qualifications
Preferred Qualifications
- Your academic background is in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, Physics, and etc. Advanced degree preferred.
Education & Experience
Additional Requirements
Pay & Benefits
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