Data Scientist-HomeKit at Apple (Cupertino, CA)

Data Scientist-HomeKit at Apple (Cupertino, CA)


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Location: Cupertino, CA
Type: Full Time
Created: 2021-07-08 05:00:50

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The HomeKit team provides the foundation that enables an entire ecosystem of secure and intelligent home connectivity. We are developing technologies and crafting experiences that revolutionize the way people harmonize with the accessories around them. The team is seeking a hardworking Data Scientist to push the boundaries of data collection, processing and visualization and building a foundation of data driven decision-making for a growing team.The HomeKit organization is looking for an experienced and highly motivated data scientist! You will partner across engineering groups building extraordinary home related products, and promote a culture of using data to measure, understand, and improve our products and features. You have a background that fuses data science, engineering, and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products. IN THIS ROLE, YOU WILL: Work closely with leadership and engineering teams to help define and prioritize the insights we need to make the very best productsDrive the generation of insights from raw, unstructured data to improve existing features and explore strategic directions. Develop extensive knowledge of existing metrics, advocating for changes where needed. Work closely with engineering teams to guarantee the consistency and validity of metrics across platforms, modalities and languages.Conduct analysis that includes data gathering and requirement specifications, processing, analysis, and report generation. Drive regular insights reports and presentations with Apples leadership teams. Tackle difficult, non-routine analysis problems, applying advanced analytical methods as needed. Partner with your peers to build and prototype analysis pipelines that provide insights at scale. Promote adoption of best practices and build greater awareness of common data analysis pitfalls.

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