Data Scientist

Responsibilities

• Deploy advanced statistical models and machine learning methodologies within operational environments
• Collaborate with engineering and infrastructure teams to optimize GPU utilization and workload scheduling
• Design experiments and analyze large-scale system telemetry data
• Build predictive and optimization solutions integrated into production workflows
• Translate research and modeling insights into scalable, production-ready systems

Requirements

• MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related field
• 8+ years of experience applying statistical modeling or ML to large-scale datasets
• Proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch, or TensorFlow)
• Experience designing and analyzing controlled experiments (A/B testing, causal inference)
• Experience with distributed data systems (Spark, Ray, Dask, or similar)
• Proficiency in SQL and working with large-scale structured datasets
• Experience building, deploying, and maintaining predictive models in production
• Strong understanding of optimization techniques (linear programming, convex optimization, or reinforcement learning)
• Experience working with time-series data and performance telemetry

Preferred Qualifications

• PhD with published research in systems optimization or distributed computing
• Experience with GPU workloads, distributed training, or AI infrastructure
• Familiarity with Kubernetes, containerized workloads, or cloud-native systems
• Experience deploying reinforcement learning or adaptive scheduling systems
• Background in capacity planning, forecasting, or resource allocation modeling

About the Company

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.