DataScientist

About Tyba Tyba is a modeling platform for energy companies developing, financing, and operating renewable energy infrastructure. Energy companies rely on technical models daily to make crucial infrastructure decisions. Our mission is to make cutting-edge models accessible to cross-functional teams such that companies can build and operate more renewable energy more profitably. We apply data science, AI/ML prediction, optimization, and physical modeling to a range of applications that support decision-making, from early-stage siting of power plants to the daily operations of energy storage and solar projects. Our customers access these models via an easy-to-use web application or programmatically through our API and rely on the accuracy of our models and the performance of our software. The Role We are looking for a data scientist to join our team to work on modeling initiatives that deliver value to customers of our battery auto-bidding platform. You will excel in this role if you're passionate about clean energy, are a quick learner, have a strong sense of ownership, and are excited to learn about wholesale power market operations. As a member of the Modeling and Optimization team at Tyba, you will have the opportunity to contribute to a mission-critical product that synthesizes price forecasts and bid optimization algorithms to deliver strong returns for our customers. You will work on a cross-functional team, going deep on the intricacies of power markets to help improve our predictive models. This role primarily involves working on Tyba’s price forecast engine, with a focus on hypothesis-driven model experimentation. Responsibilities - Train and evaluate forecasting models for new applications and use cases. - Develop features for nodal electricity price forecasts, working with power market experts to identify predictive signals and integrate them into our forecasting infrastructure. - Investigate model behavior in specific contexts, such as diagnosing forecast