Lead Data Scientist
Core
Lead Data Scientist establishing the Innovation Lab to build forecasting, anomaly detection, and optimization models for oil and gas operations using SCADA/IIoT and geospatial data.
Role type
Senior IC data scientist (founding lead)
Builds
Production ML models for energy operations (forecasting, anomaly detection, optimization)
Domain
Oil and gas / Energy / Industrial IoT
Deliverable
production ML models
Required skills
Time-series forecasting, Anomaly detection, Optimization, Python, SQL, Statistics, Experimental design, Model evaluation, Generative AI evaluation, MLOps
Preferred skills
Oil/gas/energy domain experience, SCADA/IIoT data, Geospatial data, Databricks, Spark, Azure, AWS, MLflow, Hiring data scientists
Technologies
AWS, Azure, Databricks, Spark, MLflow, Python, SQL
Responsibilities
Define data science direction, tools, and standards for the Labs function; Build forecasting, anomaly detection, and optimization models from analysis to prototype; Design experiments and pilot success measures; Partner with engineering on production handoff and monitor deployed models for drift; Coach and mentor colleagues; Shape future roles and hiring plans.
