> Markdown version of [/jobs/ext/1394921-lead-data-scientist-ad-research](https://www.wearedevelopers.com/jobs/ext/1394921-lead-data-scientist-ad-research). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist, Ad Research - **Company:** The Walt Disney Company - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $155,700.0 - $208,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), A/B Testing, Airflow, Data Analysis, Data Visualization, Data Warehousing, Digital Technology, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Standard Sql, Tableau (Software), Large Language Models, Generative AI, Information Technology, Data Analytics, Databricks - **Published:** July 23, 2026 - **Apply:** https://dejobs.org/x/x/04D927159A7F4B28A5D7EB190FC9D9FD/job/ ## About the Role * Bachelor's in computer science, statistics or equivalent experience * At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. * Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models. * Strong interest to learn about generative mixed media, generative video, and diffusion-based technology. * Solid knowledge of data science and statistics. Strong communication skills and business acumen. * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. * Experience designing and building machine learning models. * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. * Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement. * Experienced building data-driven services and applications for production. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * MS or PhD in computer science, statistics or equivalent experience * Experience in digital video advertising or digital marketing domain * Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows. Otherwise a strong interest to learn. * Experience with Airflow, data warehouse, Databricks or Sagemaker. ## Description * Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery. * Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. * Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations. * Define and evaluate key metrics in various product areas. * Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications. * Develop Standard Operating Procedures for human-driven evaluations or labeling. * Deliver data insights and provide data-driven recommendations to cross-team stakeholders. * Design and analyze A/B tests for machine learning algorithm iterations. * Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. * Mentor team members and support their technical growth. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)