Sr Data Scientist

The Walt Disney Company

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $141,900–$190,300 / yr
Posted: 33 days ago
Closes: Jun 30, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k

This role $166k

$97k most similar roles pay here $229k

This role pays more than 66% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $166k versus about $154k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 154 open roles on FindRole.

Listed pay typically runs $141,900–$190,300 across 150 roles with salary data.

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View all roles at The Walt Disney Company

At a glance

TL;DR · Sr Data Scientist

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As a Senior Data Scientist on Disney Direct-to-Consumer’s Content Understanding team, you will lead the development and deployment of advanced NLP, multimodal machine learning, and large language model solutions to enhance content classification, metadata enrichment, and similarity modeling across platforms like Disney+, Hulu, and ESPN+. Your day-to-day responsibilities include designing and fine-tuning models for tasks such as text classification, semantic similarity, and retrieval, while collaborating closely with product, engineering, and business stakeholders. You will optimize training workflows using GPU infrastructure and production best practices, ensuring scalable and maintainable solutions. The role requires expertise in deep learning architectures, transformer-based systems, and proficiency in Python along with frameworks like PyTorch or TensorFlow. Ideal candidates have experience with multimodal models, retrieval systems, and distributed training, as well as a strong track record of delivering production-grade AI systems.

Skills

Python PyTorch TensorFlow NLP LLM Transformer CI/CD MLOps GPU Distributed Systems Multimodal ML Embeddings Attention Mechanisms Vector Databases RAG RLHF Parameter-Efficient Tuning Monitoring Code Review

What you'll do

Lead the design and deployment of advanced NLP and multimodal ML solutions for content understanding.
Build models for tasks like text classification, semantic similarity, metadata enrichment, and multimodal understanding.
Fine-tune open-source foundation models using modern techniques to enhance performance in production.
Collaborate with cross-functional teams to translate business needs into scalable machine learning solutions.
Optimize training workflows on GPU infrastructure for efficient model deployment and maintenance.

What we're looking for

5+ years of industry experience building and deploying machine learning models in production.
Deep expertise in deep learning, NLP, embeddings, transformer-based architectures, and large language model systems.
Proficiency in Python and at least one major deep learning framework like PyTorch or TensorFlow.
Experience with production ML systems including CI/CD, job orchestration, containerization, monitoring, and MLOps practices.
Strong ability to evaluate ML systems using technical and product metrics, balancing quality, latency, scalability, and maintainability.
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.

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