Staff Data Scientist, AVOD - HBO Max

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

HBO Max is the future of entertainment and storytelling. WarnerMedia’s new streaming entertainment offering, HBO Max is the culmination of some of the most innovative new technology and greatest creative talent in the industry. Anchored by the entire HBO service, arguably the greatest brand in television, HBO Max also features fan favorites from the WarnerMedia library including Warner Bros., New Line, DC, CNN, TNT, TBS, truTV, Turner Classic Movies, Cartoon Network, Adult Swim, Crunchyroll, Rooster Teeth, Looney Tunes, and more. HBO Max will also be home to key third-party library acquisitions, such as Friends, South Park and Doctor Who, and more than 50 exclusive Originals in its first year, from the likes of groundbreaking creative talent such as J.J. Abrams, Ridley Scott, Jordan Peele, Steven Soderbergh, Michael Mann, Mindy Kaling, Reese Witherspoon, Anna Kendrick, Greg Berlanti, Melissa McCarthy, Robert Zemeckis, Ellen DeGeneres, and other visionaries.

The Job

We’re looking for a Staff Data Scientist to join our Customer Data Science team to help improve our AVOD business. As the Staff Data Scientist, you will be responsible for using your expertise in machine learning to solve business challenges including but not limited to ads optimization, ads targeting, and ads personalization.

The Daily

• Apply your statistical and analytical expertise to drive informed decisions about growing and improving our ads monetization online system
• Investigate opportunities in ads optimization, ads targeting, and ads personalization
• Understand AVOD user experience and work with marketing/product to improve the experience and thus increase retention
• Provide technical mentorship for junior data scientists.
• Understand the data and lead the ETL process to utilize large volumes of first party, second party, and third-party data for modeling purposes
• Define metrics, understand A/B testing and statistical measurement of model quality
• Evaluate and facilitate the integration of additional sources of data that can enhance analytic capability, continually identify and fix issues that could enforce robust analytic processes
• Work on building and executing plans to optimize the use and value of data to increase consumer engagement and better decision-making across the organization.
• Present models and methodology to senior management and socialize results and learnings within the organization to drive business decisions
• Collaborate with:
  • MLE team to deploy model
  • Stakeholders to understand their needs
  • BI and engineering teams to implement the tools needed to support the empowerment of the organization with data

The Essentials

• Graduate degree in Computer Science, Engineering, Data Science, or other computational disciplines; PhD degree is preferred
• 5+ years of experience in data science roles with a PhD degree or8+ years of experience in data science roles with a graduate degree
• Experience with digital advertising is required
• Experience with Ad targeting
• Significant experience working with relational databases and SQL
• Advanced-level proficiency in Python
• Experience with working in cloud-based environments like AWS

The Nice to Haves

• Proven ability in building relationships and collaborating with stakeholders across large organizations
• Experience with entertainment/media experience
• Experience with Pyspark/Scala
• Experience with AVOD
• Experience working with data from digital ad platforms, e.g. Facebook, Google Ads, etc