Tech Stack

Description

As a Senior Data Scientist at Nebius, you will design and deploy production-grade AI systems using large language models, including RAG pipelines and agent-based automation for data quality and anomaly detection. You will build evaluation frameworks, apply predictive modeling in business domains like HR and Finance, and ensure models are robust and scalable in production.

Requirements

• 5+ years as data scientist or applied ML practitioner
• Experience building and deploying LLM-based systems in production
• Proficiency in Python, SQL, and modern data science/ML ecosystems
• Strong foundation in statistics and machine learning fundamentals
• Demonstrated ability to deliver production-grade AI systems end-to-end

Responsibilities

• Design and deploy LLM-based solutions (RAG pipelines, agent workflows) for business use cases
• Build evaluation frameworks to measure accuracy, consistency, and failure modes of LLM systems
• Develop agentic solutions to automate data quality checks, anomaly detection, and reporting
• Apply classical ML and statistical methods to HR and Finance domains (forecasting, classification, risk modeling)
• Deploy and maintain models in production with monitoring, versioning, and scalability