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Apple Sr Data Scientist Apple Services Engineering United States, California, Cupertino 874726281
06.06.2024
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Description
* Communicate with and advocate to a wide audience of engineers, managers and executives to inform decisions.* Collaborate with stakeholders and Data Engineering to define metrics that we will measure our efforts against as well as defining the instrumentation required for yielding sufficient data.* Extract information from structured and unstructured data.* Perform exploratory data analyses and use statistics or machine learning techniques to identify key areas of opportunity and new questions to pursue.* Plan, design, analyze A/B tests or experiment results.* Build models to forecast growth, capacity requirements, etc.* Work with Analytics Engineering to build analytic, visualization, and other information products with a drive to automate and scale the insights available to science and engineering teams.
Key Qualifications
- 5+ years in an analytics or data science role
- 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 demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.
- You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
- You have excellent verbal and written communications skills and experience in influencing decisions with information.
Education & Experience
* Your academic background is in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, Physics, and etc. Advanced degree preferred.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $160,700 and $282,500, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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