Principal Data Scientist

Warner Bros. Entertainment Inc. • $227K — $423K *
Burbank, CA 91505Hybrid
Media
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Master's in Computer Science, Mathematics, Statistics, or related field; PhD preferred
  • 8+ years experience in Machine Learning, AI, and Data Science
  • Strong background in Recommender systems and personalization techniques
  • Expertise in machine learning and deep learning methodologies
  • Familiarity with large language model techniques
  • Advanced SQL skills and experience with big data platforms (e.g., AWS, Snowflake)
  • Proficient in tools like Python, TensorFlow, Keras, and PyTorch

Responsibilities

  • Lead complex machine learning projects to develop scalable solutions for HBO Max
  • Mentor and guide an ML and AI team in innovative approaches
  • Collaborate with engineering to design scalable machine learning systems
  • Identify business value opportunities through data science
  • Formulate ML/AI strategic roadmap and educate stakeholders
  • Provide thought leadership on ML/AI applications
  • Prepare and present analytical insights to senior leadership

Benefits

  • Innovative and dynamic work environment
  • Collaboration with cross-functional teams
  • Opportunities for professional development and mentorship
  • Direct impact on user experience and growth
  • Exposure to cutting-edge technologies in ML and AI
Full Job Description
Principal Research Scientist (Recommender Systems) The Job The Principal Research Scientist (Recommender systems) will lead large and complex technical projects by developing innovative machine learning algorithms and directing the work of talented Machine Learning (ML) and Artificial Intelligence (AI) researchers and engineers towards building scalable ML solutions for HBO Max. This role will be focused on advancing personalization and recommender systems and search to drive user experience and growth. The person in the role will partner closely with product, engineering, content, marketing, and research stakeholders across WBD to identify ML opportunities, accelerate AI innovation, and to ensure delivery of impactful solutions for the business. The Daily
  • Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modeling approaches to support product, engineering and marketing initiatives.
  • Be a hands-on leader to mentor the team in the latest machine learning approaches, and to introduce new technologies and processes.
  • Partner with ML engineering leadership to design and develop scalable machine learning systems to accelerate the learning cycle.
  • Identify data science opportunities that deliver business value.
  • Formulate key areas of the ML/AI roadmap, and educate both internal and external stakeholders at all levels to drive implementation and measurement.
  • Provide thought leadership to enable ML/AI applications.
  • Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
  • Prepare and present ML modeling results and analytical insights that help drive the business to senior leadership.
The Essentials
  • Masters in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields (PhD preferred)
  • 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
  • Strong experience in Recommender systems, personalization systems, collaborative filtering and information retrieval systems.
  • Strong machine learning, deep learning, and statistical modeling expertise, such as causal inference modeling, ensembles, neural networks, NLP, reinforcement learning and bandits
  • Familiarity and experience with modern large language model based techniques for recommender systems and personalization.
  • Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
  • Proficiency in machine learning and deep learning languages and platforms (Python, TensorFlow, Keras, PyTorch etc.)
  • Experience in deploying machine learning algorithms and advanced modeling solutions
  • Proven ability to deliver results in a fast-paced, high-energy environment
  • Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
  • Works effectively cross functional teams to build trusted partnership
  • Working experience in digital media and entertainment industry preferred

About Warner Bros. Entertainment Inc.

Warner Bros. Interactive Entertainment is an American video game publisher based in Burbank, California, and part of the newly-formed Global Streaming and Interactive Entertainment unit of Warner Bros. Discovery. WBIE was founded on January 14, 2004 under Warner Bros. and transferred to the Home Entertainment division when that company was formed in October 2005. WBIE manages the wholly owned game development studios TT Games, Rocksteady Studios, NetherRealm Studios, Monolith Productions, WB Games Boston, Avalanche Software, and WB Games Montréal, among others.
Learn more about Warner Bros. Entertainment Inc.
Industry
Media
Founded
1918
* Ladders Estimates

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