remote
Staff Data Scientist - Lunar Energy
Data Scientist
Lead advanced analytics for a next‑generation home battery ecosystem, building forecasting, optimisation and market‑participation models to trade DER fleets in wholesale markets using Python, ML and cloud technologies.
About the role
Key Responsibilities
- Design, develop and deploy forecasting models for DER asset performance and market demand using Python and advanced ML techniques.
- Build optimisation algorithms to schedule battery dispatch and participate in wholesale energy markets.
- Collaborate with software engineers to integrate models into a cloud PaaS, ensuring scalability and reliability.
- Analyze large datasets from DER fleets, extract insights, and present actionable recommendations to product and strategy teams.
- Maintain and improve data pipelines, ensuring data quality and compliance with regulatory standards.
Requirements
- PhD or Master’s in Data Science, Electrical Engineering, or related field with 8+ years of industry experience.
- Proficiency in Python, SQL, and cloud platforms (AWS or GCP).
- Deep knowledge of time‑series forecasting, optimisation, and energy market dynamics.
- Strong communication skills and ability to translate complex analytics into business value.
- Experience with containerisation (Docker) and CI/CD pipelines is a plus.
Skills
pythonmachine learningsql