Data Scientist, Commercial Analytics
Core
Lead end-to-end design, development, and deployment of advanced AI/ML solutions for commercial analytics including pricing, marketing, supply chain, and trading.
Role type
Senior IC machine-learning engineer (commercial analytics)
Builds
Production AI/ML models, GenAI applications (chatbots, copilots), and optimization models for energy and chemical businesses
Domain
Energy, chemicals, oil & gas trading
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, Databricks/Spark, statistics, probability, algorithm design, MLOps, model governance, explainable AI
Preferred skills
Azure ML, Azure OpenAI, knowledge graphs, hybrid search/RAG, semantic technologies
Technologies
LangChain, Promptflow, MLflow, SHAP, LIME, CI/CD
Responsibilities
Lead end-to-end delivery of AI/ML solutions (scoping, modeling, evaluation, deployment, monitoring); Collaborate with cross-functional teams to translate business problems into mathematical frameworks; Build solutions in pricing, marketing, supply chain, or trading domains; Develop GenAI applications and/or time series, optimization, or commercial analytics models; Ensure production readiness through MLOps practices; Mentor peers and contribute to internal AI capability building
Seniority
Senior, hands-on IC