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Apple Senior Data Scientist ASE iCloud Organization Product United States, Washington, Seattle 996539430
14.04.2025
This role partners closely with business and product teams across ASE. Work includes.Performing exploratory data analyses and use statistical techniques to identify key areas of opportunity and new questions to pursue.Crafting the narrative for iCloud performance — identify and elevate key insights, and develop scalable approaches for summarizing complex results into an accessible format.Collaborating with partners and Data Engineering to define metrics that we will measure our efforts against as well as defining the instrumentation required for yielding sufficient data. Connecting with and advocate to a wide audience of engineers, managers and executives to influence decisions.Extracting information from structured and unstructured data.Plan, design, and analyze A/B tests or experiment results.Build models to forecast growth, capacity requirements, etc.
- 6+ years in a data analytics or data science role (4+ years in a data science role).
- 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 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 think about data in terms of statistical distributions and have a big enough analytics toolbox (e.g., Statistics) 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 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.
- Your academic background is in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, Physics, and etc. Advanced degree preferred.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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