Data Scientist, Creative X
Pubblicato il 17-08-2026 - Amazon in Italia
Job ID: 10501346 | Amazon.com Services LLC
Data Scientist
We are seeking a talented Data Scientist to join our growing science team. In this role, you will leverage your analytical and technical expertise to extract valuable insights from complex datasets, develop machine learning models, and drive data-informed decision-making across the organization.
Key Responsibilities
- Design and execute end-to-end data science projects, from problem definition to solution deployment
- Develop and implement machine learning models to solve business problems and improve operational efficiency
- Create and maintain data pipelines for model training and deployment
- Conduct exploratory data analysis to uncover patterns and trends
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions
- Present findings and recommendations to technical and non-technical audiences
- Monitor and optimize model performance
Key job responsibilities We are looking for talented Data Scientists who are adept at predictive modeling, reinforcement learning,
recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and raise the research bar within the team.
- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, perform hands-on analysis and modeling of enormous data sets to develop insights that improve shopper experiences and merchandise sales
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing y