Principal Data Scientist

Warner Bros. Discovery

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CANew York, NYBellevue, WABurbank, CA
Salary
$227,850–$423,150 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $326k
$94k $458k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $154,512–$214,365 — the blue band above. At the midpoint, this role pays about $326k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 58 open roles on FindRole.

Listed pay typically runs $132,300–$245,700 across 24 roles with salary data.

Most-posted roles

View all roles at Warner Bros. Discovery

At a glance

TL;DR · Principal Data Scientist

JOB TITLE: Principal Data Scientist The Principal Data Scientist will join the team to lead large and complex technical projects, directing the work of machine learning and artificial intelligence researchers and engineers. This role focuses on advancing personalization, recommender systems, and search to drive user experience and growth for HBO Max. You will develop innovative data science solutions using machine learning, deep learning, and statistical modeling while mentoring the team on new technologies. Key responsibilities include formulating the ML/AI roadmap, identifying business opportunities, and deploying scalable systems. Required skills include expertise in collaborative filtering, information retrieval, causal inference, neural networks, NLP, and reinforcement learning. You must be proficient in Python, TensorFlow, Keras, PyTorch, SQL, and big data platforms like AWS, Snowflake, and Spark to solve complex digital media problems.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

What you'll do

  • Develop innovative data science solutions using machine learning, deep learning, and statistical modeling.
  • Lead and mentor a team of ML and AI researchers and engineers on technical projects.
  • Design and develop scalable machine learning systems to accelerate the learning cycle.
  • Formulate the ML/AI roadmap and educate internal and external stakeholders on implementation.
  • Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML products.
  • Present ML modeling results and analytical insights to senior leadership to drive business decisions.
  • Identify and execute data science opportunities that deliver measurable business value for HBO Max.

What we're looking for

  • Master's degree in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or equivalent quantitative field.
  • PhD in a quantitative field (preferred).
  • 8+ years of work experience in Machine Learning, AI, and Data Science with a proven track record of driving innovation.
  • Strong experience in recommender systems, personalization systems, collaborative filtering, and information retrieval systems.
  • Expertise in machine learning, deep learning, and statistical modeling including causal inference, 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 platforms like AWS, Snowflake, Spark, or Google Cloud.
  • Proficiency in machine learning and deep learning languages and platforms such as Python, TensorFlow, Keras, and PyTorch.
  • Experience in deploying machine learning algorithms and advanced modeling solutions.
  • Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audiences.
  • Working experience in the digital media and entertainment industry (preferred).

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