Sr Data Scientist

at Disney · Media · Santa Monica, CA +1

Senior Data Scientist role focused on designing, developing, and deploying advanced NLP, multimodal ML, and LLM solutions for content understanding use cases across Disney+, Hulu, and ESPN+. Responsibilities include building and adapting models for classification, similarity, retrieval, and enrichment, fine-tuning foundation models, and optimizing training/inference workflows. Requires strong Python, deep learning framework experience, and production ML systems knowledge.

What you'd actually do

  1. Lead the design, development, evaluation, and deployment of advanced NLP, LLM, and multimodal ML solutions for content understanding use cases.
  2. Build and adapt models for tasks such as text classification, semantic similarity, retrieval, ranking, metadata enrichment, and multimodal understanding across text, image, and video.
  3. 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.
  4. Partner closely with product, engineering, analytics, and business stakeholders to translate ambiguous business needs into scalable machine learning solutions.
  5. Optimize training and inference workflows using GPU infrastructure, distributed systems, and production best practices.

Skills

Required

  • Python
  • PyTorch or TensorFlow
  • deep learning
  • NLP
  • embeddings
  • transformer-based architectures
  • large language model systems
  • attention mechanisms
  • tokenization
  • representation learning
  • modern evaluation methodologies
  • production ML systems
  • CI/CD
  • job orchestration
  • containerization
  • monitoring
  • MLOps practices
  • evaluating ML systems
  • communication skills

Nice to have

  • Master’s degree or Ph.D.
  • multimodal models
  • retrieval systems
  • vector databases
  • semantic search
  • retrieval-augmented generation (RAG)
  • fine-tuning foundation models
  • distributed training
  • distributed inference
  • GPU infrastructure
  • hardware optimization
  • RLHF
  • parameter-efficient tuning
  • model adaptation methods

What the JD emphasized

  • deep expertise in modern deep learning architectures
  • hands-on experience adapting and evaluating foundation models
  • strong track record of delivering production-grade AI systems

Other signals

  • LLM solutions
  • foundation models
  • production-grade AI systems
Read full job description

Job Posting Title:

Sr Data Scientist

Req ID:

10147055

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.

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.

  • #DISNEYTECH

  • #DisneyAnalytics

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.

Job Posting Segment:

Direct to Consumer

Job Posting Primary Business:

DTC Analytics and Data Science

Primary Job Posting Category:

Data Science

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-04-07