Data Scientist

The Walt Disney Company
Santa Monica, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 190K

Job location

Santa Monica, United States of America

Tech stack

Automated Storage and Retrieval Systems
Code Review
Encodings
Content Analysis
Continuous Integration
Distributed Computing Environment
Distributed Systems
Python
Machine Learning
Open Source Technology
TensorFlow
Search Technologies
Software Engineering
Tokenization
PyTorch
Large Language Models
Deep Learning
Generative AI
Containerization
Information Technology
Low Latency
Machine Learning Operations
Hardware Infrastructure
GPT

Job description

Data scientists at Disney Direct-to-Consumer are the insights and modeling partners for the growth, content, marketing, product, and engineering teams across Disney+, Hulu and ESPN+. They leverage data, statistical methods, and machine learning to generate insights, predictions, and scalable solutions that inform critical decisions and shape the experiences of millions of viewers worldwide. Through model development, analysis, visualization, and data products, they build capabilities that are continuously refined through close collaboration with cross-functional business stakeholders., * Lead the design, development, evaluation, and deployment of advanced NLP, LLM, and multimodal ML solutions for content understanding use cases.

  • Build and adapt models for tasks such as text classification, semantic similarity, retrieval, ranking, metadata enrichment, and multimodal understanding across text, image, and video.

  • Fine-tune, customize, and optimize open-source and foundation models using modern techniques such as supervised fine-tuning, parameter-efficient tuning, retrieval-augmented generation, and embedding-based methods.

  • Partner closely with product, engineering, analytics, and business stakeholders to translate ambiguous business needs into scalable machine learning solutions.

  • Optimize training and inference workflows using GPU infrastructure, distributed systems, and production best practices.

  • Drive production excellence through strong software engineering discipline, including testing, code review, CI/CD, orchestration, monitoring, and model lifecycle management.

  • Contribute technical leadership through architecture decisions, best practices, experimentation strategy, and mentorship of other scientists.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.

  • 5+ years of industry experience building and deploying machine learning models in production environments.

  • Strong expertise in deep learning, NLP, embeddings, transformer-based architectures, and large language model systems, including attention mechanisms, tokenization, representation learning, and modern evaluation methodologies.

  • Proficiency in Python and at least one major deep learning framework such as PyTorch or TensorFlow.

  • Experience with production ML systems, including CI/CD, job orchestration, containerization, monitoring, and MLOps practices.

  • Experience evaluating ML systems using appropriate technical and product metrics, and balancing quality, latency, scalability, and maintainability.

  • Strong communication skills, with the ability to explain technical concepts clearly to cross-functional and non-technical stakeholders.

  • Ability to operate effectively in fast-paced environments and adapt proactively to changing priorities.

Preferred Qualifications

  • Master's degree or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or a related field.

  • Experience working with multimodal models spanning text, image, and video.

  • Experience with retrieval systems, vector databases, semantic search, and retrieval-augmented generation (RAG).

  • Hands-on experience fine-tuning and optimizing open-source foundation models for downstream applications.

  • Familiarity with distributed training and inference workflows for large-scale models.

  • Understanding of GPU infrastructure, hardware optimization, and performance trade-offs in large-scale model training and inference.

  • Familiarity with advanced LLM techniques such as RLHF, parameter-efficient tuning, and model adaptation methods.

  • #DISNEYTECH

  • #DisneyAnalytics

Benefits & conditions

The hiring range for this position in Santa Monica, CA is $141,900 to $190,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.

About Disney Direct to Consumer:

Disney's Direct to Consumer team oversees the Hulu and Disney+ streaming businesses within Disney Entertainment helping to bring The Walt Disney Company's best-in-class storytelling to fans and families everywhere.

About The Walt Disney Company

About the company

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Services LLC, which is part of a business we call Disney Direct to Consumer.

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