3+ years’ experience (5+ years for a senior position) applying data science to real business problems. Required SkillsĪpple, for the most part, prefers to hire applicants with at least a few years of experience under their belt as a data scientist. Given Apple is a huge multi-conglomerate, the data science skillset used will vary by teams as there are many analytics teams across various divisions like marketing, finance, sales, etc as well as more machine learning and deep learning based teams on products and services like Siri, cloud services, and even hardware. This means the job will require everything from analytics to machine learning software design to plain engineering. The actual title of data scientist at Apple functions as the closest thing to a full-stack data scientist. What is the data science role at Apple?Īs with other big tech companies, the role of a data scientist at Apple varies a lot and is dependent on the teams you are assigned to. Interested in a specific skillset interview guide? Check out our in-depth analysis of SQL, machine learning, python, and product data science interview questions. From its researched-based artificial intelligence development team at Siri to cloud-base architecture development team at iCloud, Apple has slowly but steadily been building data science teams to handle the avalanche of data accumulated on a daily basis. Apple is constantly in need of creative, passionate, and dedicated data scientists that can sit on any number of their teams. is one of the biggest technology companies in the world that designs, develops, and sells consumer electronics, computer software, and online services.
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