Sr Data Scientist

Job ID 10147055 Location Santa Monica, California, United States Business Disney Direct to Consumer Date posted Apr. 07, 2026

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Job Summary:

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.

As a Senior Data Scientist on the Content Understanding team, you will lead the design, development, and deployment of advanced NLP, multimodal machine learning, and large language model (LLM) solutions to support content classification, segmentation, metadata enrichment, similarity modeling, and related downstream applications across Disney+, Hulu, and ESPN+. This role requires deep expertise in modern deep learning architectures, hands-on experience adapting and evaluating foundation models, and a strong track record of delivering production-grade AI systems in partnership with engineering and cross-functional stakeholders.

Key Responsibilities

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.

Basic Qualifications

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.

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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.

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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:

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.

Disney Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

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