Data Scientist

About the Role:

Join a dynamic and forward-thinking team that uses data science and machine learning to solve real-world problems across the global energy and commodities space. You'll work at the intersection of business and tech, transforming complex datasets into actionable insights and delivering scalable, high-impact solutions.

Key Responsibilities:

• Collaborate closely with commercial stakeholders to identify opportunities for data-driven value creation
• Explore and analyze diverse datasets to uncover patterns, trends, and insights
• Build clear and reusable data pipelines and structures
• Develop and apply machine learning models to optimize business operations
• Review code and experiment design to maintain high-quality standards
• Partner with domain experts to develop deep operational understanding
• Support deployment of models and dashboards in production environments

Requirements:

• Bachelor’s or higher degree in a STEM discipline
• 3–5+ years of industry experience in data science, applying ML to real-world problems
• Strong Python skills, with clean, modular coding practices in collaborative settings
• Skilled in data visualization (e.g., Plotly, Bokeh) and insight communication
• Hands-on experience with heterogeneous, multi-dimensional datasets
• Strong foundation in statistics, machine learning, and data exploration
• Detail-oriented and committed to production-grade work

Preferred Experience:

• Time-series modeling (ML and econometric approaches)
• Broad familiarity with ML methods and their application to business
• Experience with enterprise software development and code versioning
• Familiarity with cloud-based workflows, particularly AWS
• Building ETL pipelines in Python and AWS
• Understanding of CI/CD principles and tools