Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
About the role
- Data Scientist role focused on improving AI-augmented information retrieval and web visibility. Collaborating with Engineering, Product, and Marketing teams to develop measurable solutions.
Responsibilities
- Design, prototype, and productionize models/algorithms for retrieval, ranking, and relevance quality across web and AI-assisted surfaces.
- Build NLP pipelines (classification, entity extraction, topic modeling, sentiment analysis) and validate them with clear offline + online metrics.
- Own measurement and experimentation: hypotheses, experiment design, guardrails, and readouts that drive decisions.
- Develop simulation / modeling frameworks to forecast outcomes, test policies, and stress-test system behavior under different assumptions.
- Contribute to knowledge graph / semantic web work: schema design, entity resolution, and downstream ML / GenAI applications.
- Translate technical work into crisp narratives for stakeholders (product tradeoffs, confidence, limitations, and next steps).
- Contribute to external thought leadership where it makes sense (blog posts, talks, papers).
Requirements
- Strong foundations in statistics, experimental design, and model evaluation.
- Hands-on experience with information retrieval / ranking / search relevance, ideally in AI-augmented contexts.
- Experience building and evaluating NLP models in production or research settings
- Proficiency in Python and SQL
- Strong communication: you can explain what you did, why it matters, and how confident you are, without hand-waving.
- Deep comfort with the web as a system (crawl/index realities, domains, content structure, measurement constraints).
- Experience working with non-representative data and making results more trustworthy through sampling-aware analysis (bias checks, adjustments, uncertainty).
- Work with noisy/partial labels, long-tailed queries, drifting content, and evaluation that mixes offline + online signals
Benefits
- Offers Equity
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