or apply directly on CoreWeave Europe's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days CoreWeave Europe's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of CoreWeave Europe's roles list one
- Ghost-job risk at CoreWeave Europe
- high 77 stale, 2 reposted of 77 open
- Hiring momentum
- 91 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from CoreWeave Europe's own greenhouse board since 2026-08-03. Full hiring picture for CoreWeave Europe.
About this role
As a Data Scientist at CoreWeave, you will focus on building a reliability platform that enhances proactive reliability engineering within production environments. Your role involves deploying statistical models and machine learning methodologies to optimize GPU utilization and system efficiency, while collaborating with engineering teams to analyze large-scale telemetry data and implement predictive solutions. This position blends hands-on deployment with analytical work to improve performance and cost-effectiveness in real-time operations.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of CoreWeave Europe as an employer.
What you need
- MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field
- 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets
- Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)
- Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)
- Experience working with distributed data systems (Spark, Ray, Dask, or similar)
- Proficiency in SQL and working with large-scale structured datasets
Nice to have
- PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling
- 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 in production
- Background in capacity planning, forecasting, or resource allocation modeling
What you get
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
Worth weighing
- No specific salary listed, compensation based on experience and market location
- Role involves working with complex infrastructure data, which may require a steep learning curve for some candidates
- Focus on production systems may limit opportunities for pure research or theoretical work
Summarised from CoreWeave Europe's posting. Read the full original.
Listed by CoreWeave Europe on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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