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IMDb Data Scientist, IMDb Insights and Analytics
Amazon · Seattle, WA · Posted 63 days ago
Lead measurement end-to-end across IMDb's most impactful problems, from abuse detection to demand forecasting, with autonomy and access to frontier AI tools.
IMDb is the world's most popular and trusted source for information on movies, TV shows, and celebrities. Products and services to help fans discover and decide what to watch and where to watch it include: the IMDb website for desktop and mobile devices; apps for iOS and Android; and X-Ray on Prime Video. For entertainment industry professionals, IMDb provides IMDbPro and Box Office Mojo. IMDb licenses information from its vast and trusted database to third-party businesses worldwide. As an Amazon company, IMDb employees enjoy the benefits and resources of a tech giant, while maintaining the autonomy and impact of a small, nimble team.
Every product decision at IMDb surfaces a question the data must answer. The IMDb data science team's work spans human versus automated traffic detection, moderation classification, abuse modeling, audience demand forecasting, advertising enhancements, content understanding; and the scope continues to expand.
We are hiring a data scientist who wants that breadth. You will frame loosely defined business problems as well-specified science problems and select the method that fits the data and the question rather than the one you know best. Measurement ownership runs end to end: ground truth design, evaluation, and proof that the model moved the metric it was built to move.
We expect you to use frontier models to scale your own throughput, not only to embed them in products; fluency with these tools is part of the craft. Success in this position demands exceptional scientific leadership, strong organizational skills, software engineering excellence, product vision, and sharp business acumen, along with expertise in implementing responsible AI solutions.
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