Director, Data Science
ClioFull Time
Expert & Leadership (9+ years)
Candidates should possess a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, and demonstrate a strong foundation in data cleaning, preparation, and transformation. Experience leading or working independently on a data project end-to-end, showcasing skills in project management, problem-solving, and collaboration is preferred. Proficiency with statistical analysis tools including Microsoft Excel, Salesforce CRM, Python, R, and SQL is also required.
The Sales Analytics, Predictive Modeling Intern will create and deploy a predictive model to estimate opportunity size based on prospect information, identify and validate relevant variables, evaluate and tune the model using data, and collaborate with cross-functional teams to define, implement, and automate model outputs. They will also contribute to developing and managing lead generation processes, learn and apply best practices in data analysis and data science, and demonstrate eagerness to learn and take initiative.
Manages virtual power plants and demand response
Voltus operates in the energy sector by managing virtual power plants and distributed energy resources (DERs). The company helps clients, including businesses and homeowners, reduce their energy use during peak demand times, which is known as demand response. This process not only helps prevent blackouts but also allows clients to earn money and save on energy costs through various payment mechanisms. Voltus has a strong track record, managing 5.8 gigawatts of DERs and executing over 7,500 dispatches to maintain grid stability. With 60 different programs available, clients can optimize their energy usage and financial returns. Voltus stands out from competitors by focusing on demand response and providing tangible financial benefits to its clients. The goal of Voltus is to contribute to a more sustainable and reliable energy future.