Responsible for developing AI and ML solutions to drive improved business performance and efficiency across domains, you will lead end-to-end AI/ML projects from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring. You will dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large complex data sets.
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Experian's commercial division of Machine Learning and Advanced Analytics team is looking for a Data Scientist to support internal and external credit modeling projects; you'll work with analytics consultants, external clients, and other project team members to lead modeling projects from beginning to implementation.
Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing. Run large-scale experiments with access to Spotify’s extensive infrastructure. Collaborate as part of a cross-functional team to craft innovative solutions to complex challenges, pushing the boundaries of what’s possible in listening experiences.
The Data Science team works on a wide variety of topics, actively participating in the definition and development of our product suite in fraud detection and claims automation. Main responsibilities include assembling and deploying data processing pipelines, collaborating with clients to understand their needs, and conducting R&D to drive product innovation.
Unlock the secrets held by data sets and explore possibilities presented by IoT, machine learning, and AI. As an advanced data scientist, evaluate AI methodologies to make a real-world impact on AI usage in strategic intelligence within the Department of Defense. Grow your skills in TEVV and AI risk mitigation, shaping the future of analytics.