Principal Data Scientist

Description

The company is a global media and entertainment business with three segments: Studios, Direct-to-Consumer and TV Media.

This role focuses on personalization, recommendations and search for the company's streaming service, with the aim of improving the user experience and growth.

You will lead large, complex technical projects and work with product, engineering, content, marketing and research teams across the company.

Responsibilities

• Build data science solutions that use machine learning, deep learning, statistical and quantitative modeling to support product, engineering and marketing work.
• Lead and coach ML and AI researchers and engineers, working hands-on to bring in the latest methods, technologies and processes.
• Work with ML engineering leaders to design and build scalable machine learning systems that speed up the learning cycle.
• Find data science opportunities that create business value.
• Shape key parts of the ML and AI roadmap and explain it to stakeholders at every level so it gets built and measured.
• Provide thought leadership on ML and AI applications.
• Set and share best practices for scoping, building, validating, deploying and monitoring ML and AI products.
• Present modeling results and analytical insights to senior leadership.

Requirements

• A master's degree in computer science, mathematics, physics, engineering, statistics, operations research or another equivalent quantitative field.
• 8+ years of work experience in machine learning, AI and data science, with a record of driving innovation and business impact.
• Strong experience with recommender systems, personalization systems, collaborative filtering and information retrieval.
• Strong expertise in machine learning, deep learning and statistical modeling, including causal inference, ensembles, neural networks, NLP, reinforcement learning and bandits.
• Familiarity with modern large language model techniques for recommendations and personalization.
• Advanced SQL skills and experience with big data platforms such as AWS, Snowflake, Spark or Google Cloud.
• Proficiency in ML and deep learning languages and platforms such as Python, TensorFlow, Keras and PyTorch.
• Experience deploying machine learning algorithms and advanced modeling solutions.
• A proven record of delivering results in a fast-moving, high-energy environment.
• Strong communication skills, with the ability to explain complex analysis and algorithms to non-technical audiences.
• Works effectively across functions to build trusted partnerships.
• A PhD is preferred.
• Experience in the digital media and entertainment industry is preferred.

Conditions

The pay range is $227,850.00 to $423,150.00 per year.

Actual pay depends on factors such as location, external market data, internal equity, skills, experience, training, education and performance.

Base pay is one part of total compensation.

Applicants with an arrest or conviction record are considered under the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Candidates who need accommodations during hiring can request them.

Benefits

• Annual bonuses, short- and long-term incentives and program-specific awards may be offered.
• Health insurance, a wellness program, and life and disability insurance.
• A retirement savings plan.
• Paid holidays, sick time and vacation.