Senior Data Scientist
Core
Building and deploying production ML systems from prototype to production, focusing on AIOps and IT operations using large-scale operational data.
Role type
Senior hands-on IC data scientist (ML engineering)
Builds
Production ML services, APIs, and streaming data pipelines for enterprise automation
Domain
Enterprise AI, AIOps, IT operations, Process Automation
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, Hugging Face, unsupervised learning, clustering, anomaly detection, time-series forecasting, causal inference, NLP, software development practices, ML experiment tracking
Preferred skills
Advanced degree in AI/ML, research publications, open-source contributions, domain experience in AIOps/observability/ITSM, deep learning, causal inference
Technologies
PyTorch, TensorFlow, scikit-learn, Hugging Face, Prophet, VAR, SQL, containers, cloud
Responsibilities
Design and implement novel ML/AI approaches, improve reliability of production ML services, develop ML solutions for AIOps, guide ML engineering decisions, translate research papers into working implementations
Seniority
Senior, hands-on IC
