Senior Data Scientist Builder
Core
Design, build, and own production machine learning models and agentic automation systems that power business-critical decisions in the energy sector.
Role type
Senior hands-on IC data scientist (ML & Agentic Automation)
Builds
Production ML models, agentic automation workflows, and reusable data science assets
Domain
Energy, commodities, downstream fuel/retail, and trading analytics
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Databricks, AWS, TensorFlow/PyTorch/scikit-learn, end-to-end ML lifecycle, software engineering fundamentals (Git, CI/CD, testing)
Preferred skills
MLOps tooling (MLflow, Airflow/Prefect), Infrastructure as Code (Terraform), experimentation/causal inference, A/B testing, data visualization (Power BI, Tableau, Plotly/Dash)
Technologies
Databricks, AWS, Spark, Python, SQL, TensorFlow, PyTorch, scikit-learn, MLflow, Airflow, Prefect, Terraform
Responsibilities
Design and deploy applied agentic automation workflows (LLM/agent-based systems) to automate analytical and operational processes; Build and maintain machine learning models using Databricks, Spark, and AWS; Mentor data scientists and engineers on technical approach, architecture, and productionization strategy; Partner with business stakeholders to translate complex problems into scalable data science solutions; Establish guardrails and monitoring practices for agentic systems; Drive solution design from concept through production deployment.
Seniority
Senior, hands-on IC
