IMDb is the worlds most popular and authoritative 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 XRay on Prime Video. For entertainment industry professionals IMDb provides IMDbPro and Box Office Mojo. IMDb licenses information to thirdparty 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.
Key job responsibilities Ready to revolutionize advertising in the entertainment industry Were seeking a talented Data Scientist to lead gamechanging projects that will transform how fans interact with ads. Your work will drive IMDbs success while improving the experience for our diverse set of global customers from passionate film fans to entertainment industry insiders.
In this role youll drive innovative projects across IMDb collaborating with diverse teams to shape the future of entertainment technology. Were seeking candidates who blend advanced machine learning expertise with a genuine passion for entertainment and datadriven innovation. Youll develop sophisticated ML models and leverage generative AI technologies to revolutionize digital advertising enhance personalization and create nextgeneration fraud detection systems. Your work will transform customer experiences through scientific methods deep learning architectures and stateoftheart AI models. 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.
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience 2 years of data scientist experience 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience Bachelors degree Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language Experience with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2 Experience implementing algorithms using both toolkits and selfdeveloped code
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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