Specialist I TIS Data Scientist / ML Engineer
Core
Lead the development and delivery of advanced analytical solutions for complex business and operational challenges in energy infrastructure.
Role type
Specialist I TIS Data Scientist / ML Engineer
Builds
Production-ready statistical, machine learning, simulation, and optimization solutions for business and operational needs.
Domain
Energy infrastructure (Midstream operations, pipelines, hydraulic modelling, industrial operations)
Deliverable
production ML models
Required skills
Statistics, machine learning, model validation, uncertainty assessment, Python, SQL, Databricks, Spark, PySpark, MLflow, MLOps, Responsible AI practices
Preferred skills
Forecasting, anomaly detection, predictive maintenance, optimization, simulation, physics-informed machine learning, computer vision, natural language processing, generative AI, SCADA/IoT time-series data, engineering/physical-system knowledge
Technologies
Databricks, Spark, PySpark, MLflow, Python, SQL
Responsibilities
Partner with stakeholders to define problems and success criteria; assess data and technical feasibility; plan and lead initiatives from discovery to production; design, develop, validate, and operationalize ML solutions; apply MLOps and Responsible AI practices; provide technical direction while remaining hands-on; communicate analytical findings and recommendations.
Seniority
Specialist I, hands-on IC with technical leadership
