ML/Forecasting Engineer - Energy Storage

📊 Role: ML/Forecasting Engineer

💼 Industry: Energy Storage

📍 Location: United State (Remote)

💰 Salary: $160,000 to $180,000 base

A well-capitalised energy storage company is looking for a Data Scientist to join its team. You will work at the intersection of data science and energy markets to support and advance storage asset trading operations across US wholesale power markets.

This is a broad, high-ownership role. You will own work across price forecasting, dispatch optimization, model development and monitoring, meteorological analysis, and market decision support. You are expected to understand the business problems, drive toward solutions, and take work from prototype all the way to production.

The position is fully remote with quarterly in-person travel to connect with the team.

Responsibilities

• Build, iterate on, and maintain forecasting models supporting storage asset trading across US wholesale power markets
• Analyze grid conditions, meteorological data, and market dynamics to support complex trading decisions
• Rapidly prototype and test ML-driven solutions; validate results against business needs and iterate quickly
• Own the full lifecycle of data science work: from exploratory analysis through productionized, monitored pipelines running in AWS, working closely with engineers to deploy and operationalize models end-to-end
• Develop a deep understanding of the company's storage assets, trading strategy, and market context to prioritize and frame the right problems
• Collaborate closely with traders, engineers, and other data scientists to translate business needs into technical solutions and communicate findings clearly

Skills and Qualifications

• Bachelor's degree or higher in a quantitative field: physics, engineering, computer science, mathematics, or economics preferred
• Strong proficiency in Python
• Hands-on experience building ML models end-to-end: from feature engineering and prototyping through validation, deployment, and ongoing monitoring
• Comfort working in cloud environments, particularly AWS, with a track record of shipping models to production
• Proficiency with LLM-based coding assistants as a core part of the development workflow
• A problem-solving orientation: you engage with the business context around your work and take ownership of outcomes
• Excellent written and oral communication skills; able to present complex ideas to both technical and non-technical audiences
• Ability to work effectively in a remote environment, manage multiple workstreams, and re-prioritize as business needs shift
• Experience in wholesale power markets (CAISO, ERCOT, PJM, MISO, SPP, or similar)
• Experience in geospatial analysis or power grid modeling