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.
At Gradient AI, you will transform insurance with advanced machine learning and rich data as a Senior-level Data Scientist. You'll help shape the future of underwriting products in healthcare and care management, turning complex data into real customer value. Collaborate with a talented team to research needs, prototype ideas, build production models, and deliver intelligent solutions at scale in a fast-moving environment.
As a Data Scientist, you will be responsible for advancing energy markets modeling to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe. Responsibilities include prototyping new solutions and extending existing models.
In this entry-level opportunity, you will analyze the performance and impact of AI Copilots & Autonomous Agentic Systems, High-Performance Search & Recommendation, and Decision-Support Tools. You will dive into project data to uncover insights, evaluate model performance from a business perspective, and help translate complex technical results into clear, actionable recommendations for our clients.
This role needs someone with analytical skills, engineering capabilities, and hands-on data manipulation to derive actionable insights, build efficient pipelines, and support data-driven decision-making across teams. Responsibilities include analyzing data, developing pipelines, and optimizing data workflows to improve data availability, quality, and processing efficiency.
Design and implement data science and machine learning solutions that blend cutting-edge research with practical deployment. Working across industries, domains, and use cases, tackle challenging analytical problems, build robust models, and deliver insights that power client-facing tools and internal platforms. Partner with software engineers, analysts, and fellow data scientists to integrate data-driven models into scalable, deployable systems that operate in dynamic production environments.
The Data Scientist will transform data into strategic insights using machine learning, statistical analysis, and experimentation, conducting projects that impact business decisions and process optimization.