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An innovative firm is seeking a data scientist to develop machine learning models for electricity price forecasting and market predictions. This role offers the chance to work in a dynamic, startup-like environment where initiative and creativity are encouraged. You'll be responsible for designing algorithms, conducting time series analysis, and building predictive tools that enhance decision-making in the energy sector. If you're passionate about data-driven strategies and want to make a direct impact in a fast-moving company, this is the perfect opportunity for you.
CWP Energy Solutions delivers value to renewable power generators by de-risking their business and stabilizing their returns. Using cutting-edge technology, proprietary data and deep power markets expertise, our data-driven platform gives our partners the tools and intelligence to optimize the sale and purchase of their electricity while managing risks from growing grid intermittency. We partner with renewable energy generators across North America operating in deregulated power markets who seek to maximize the returns on their solar, wind and battery storage investments.
We are proud of our entrepreneurial approach that encourages initiative, experimentation and risk taking. This role is a great opportunity for an individual who wants to create value in an organization that has limited red tape and join a team that operates in a startup-like environment.
Are you looking to have a direct impact on the growth of a fast-moving company and work on complex modeling and market prediction challenges? Join us!
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