Lead Data Scientist
Core
Provide technical leadership in designing, developing, and deploying advanced data science, machine learning, and AI solutions for industrial and production engineering applications, specifically for pumps and ESP systems in oil and gas.
Role type
Lead Data Scientist (Industrial AI & Predictive Maintenance)
Builds
Scalable production-grade analytical systems, prognostics and health management (PHM) models, AI-enabled web tools, dashboards, and LLM-based workflows.
Domain
Oil and Gas / Industrial Engineering / Predictive Maintenance
Deliverable
production ML models
Required skills
Prognostics and health management (PHM) modeling, time-series and event-based data analysis, ModelOps practices, LLM agent architecture and RAG systems, enterprise data science platforms (Dataiku), cloud platforms (Azure, GCP), predictive maintenance and anomaly detection, interactive dashboard development (React, Angular, Dash, Streamlit), edge/near-edge deployment.
Preferred skills
Domain knowledge of oil and gas equipment and production systems, reliability analytics, deep learning, Generative AI.
Technologies
Dataiku, Microsoft Azure, Google Cloud Platform (GCP), React, Angular, Dash, Streamlit, LLMs, RAG systems.
Responsibilities
Design and implement end-to-end data science workflows; develop and deploy PHM models using operational and sensor data; architect and operate LLM agents and workflows; provide technical guidance and mentorship to data scientists; ensure compliance with data governance and security standards.
Seniority
Senior, hands-on IC with leadership responsibilities.
