Technical Product Manager, Data Science & Analytics, Apple Media Products - Culver City

Apple | Culver City

Date listed

3 weeks ago

Employment Type

Full time

Employees

10001+

Total Funding

$6.2 billion

Glassdoor Rating

4/5 (15000 reviews)

Keywords: sql python

At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. If you are a self-motivated, high-energy individual who is not afraid of challenges, we’re looking for you. Apple is seeking a proven Technical Data Product Manager (TPM) to join the Apple Media Products Data Science team. The TPM plays a meaningful role in collaborating with engineering and data scientists to design, maintain, build or improve mission-critical datasets from a multitude of sources. This role will involve working with internet-scale data across numerous product and customer touch points to drive initiatives that will make our data science organization more streamlined and productive. The team’s culture is centered on rapid iteration with open feedback and debate along the way, plus tight-knit collaboration with data scientists, product, feature engineering and data engineering.

We are looking for a self-starting, upbeat individual with great communication skills that is passionate about managing and developing critical datasets that improves Data Science capabilities. If you have a passion for Apple services (TV+, Music, Arcade, News, etc), it would be a big plus! You will have a strong interest in driving large scale data products, engaging with key business stakeholders involved, and driving key communications throughout the business.

Skills & requirements

  • Proven experience in a Technical Product Management role, preferably for a digital-media or subscription business.
  • Proven experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
  • Knowledge of Client-Server analytics tracking strategies as well as data architecture required for analysis
  • Experience with end-to-end data replication strategies across petabyte scale technologies

Bachelor's degree or equivalent work experience in Engineering, Computer Science, or Business Information Systems






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