Video Business Data Scientist, Apple Media Products Data Science

Apple

Posted 3 days ago

At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. If you are an ambitious, high-energy individual who is not afraid of challenges, we’re looking for you. Apple is seeking an expert Data Scientist to join a team passionate about Data Science & Analytics for the media space. This role will primarily focus on the Video business, which includes subscription (TV+, Apple TV Channels and third party services) and transactional (EST/VOD). This role will involve working with Internet-scale data across numerous product and customer touch points, undertaking in-depth quantitative analysis, building models and partnering with business stakeholders to drive strategy. The team’s culture is centered around rapid iteration with open feedback and debate along the way. We encourage independent decision-making and taking calculated risks. AMP Data Science collaborates with partners across product, design, engineering, and business teams: our mission is to drive innovation at Apple through deep quantitive research of the App Store, Apple Music, Apple TV, and Apple Arcade amongst other services.

Dive deep into large-scale data to uncover trends and identify key insights that will inform business strategy. Craft how best to monitor, measure and understand business performance and build out associated Keynote narratives, datasets, and dashboards. Work closely with business, marketing, finance and executive teams to generate regular presentations for C-level. Partner with other Apple organizations on data gathering, data governance, evangelizing key performance indicators and democratizing data.

Skills & requirements

  • 2+ years of experience in a Data Scientist or Data Analyst role, preferably for a digital media or digital subscription business.
  • Strong proficiency with SQL-based languages. Experience with large scale analytics technologies such as Hadoop and Spark preferred.
  • Familiarity with Python, command line, Git, Keynote, and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
  • Curious business attitude with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action
  • Excellent communication, social and presentation skills with meticulous attention to detail.
  • Strong time management skills with the ability to work with tight deadlines and pressure from executive requests.

Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.






Cupertino, CA

Full time employment

10001+ employees

$6.2 billion in Funding

4.0 / 5 (15000 reviews)

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Technologies:

sql spark hadoop python
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