iCloud - Data Scientist, ASE iCloud Data Organization
Job Description
Summary
Would you like to drive the future of Apple’s products, applications, and platform while having the unique opportunity to impact some of the most far-reaching software in the world?
The Apple Services Engineering (ASE) organization owns the development and innovation on Apple’s cloud-centric products and experiences for users all over the world, including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, Notes, etc. We are the foundation on which Apple’s software developers build the products that our customers love. Our multi-disciplinary data team plays a fundamental role in this mission by partnering closely with product, engineering, and business teams to develop a culture of leveraging data to inform and shape our strategy.
The Apple Services Engineering (ASE) organization owns the development and innovation on Apple’s cloud-centric products and experiences for users all over the world, including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, Notes, etc. We are the foundation on which Apple’s software developers build the products that our customers love. Our multi-disciplinary data team plays a fundamental role in this mission by partnering closely with product, engineering, and business teams to develop a culture of leveraging data to inform and shape our strategy.
Description
We are looking for someone with a track record in scoping and executing data analyses, and communicating the results of that work to partner teams in order to affect decision-making. This role partners closely with business and product teams across ASE. Work includes:
- Communicate with and advocate to a wide audience of engineers, managers and executives to influence decisions.
- Craft the narrative for iCloud performance — identify and elevate key insights, and develop scalable approaches for summarizing complex results into an accessible format.
- 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.
- Communicate with and advocate to a wide audience of engineers, managers and executives to influence decisions.
- Craft the narrative for iCloud performance — identify and elevate key insights, and develop scalable approaches for summarizing complex results into an accessible format.
- 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.
Minimum Qualifications
- 5+ years in an analytics or data science role
- 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 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 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 excellent verbal and written communications skills and experience in influencing decisions with information.
- Your academic background is in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, Physics, and etc.
Preferred Qualifications
- You have experience presenting to senior leadership (depending on company size, C-suite to VP-level audiences).
- Advanced degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, Physics, and etc.
Pay & Benefits
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