Senior Data Scientist

Core responsibilities:

• Exploratory data analysis on large sets of time series, geospatial, electrical network, and socioeconomic data
• Developing tools to clean and prepare raw data for predictive modeling and/or analytics use cases
• Driving the full lifecycle of predictive model development from data preparation to deployment and monitoring
• Developing software methodologies for distributed energy resources like solar generation, batteries, demand response, and energy efficiency

This role accelerates a sustainable clean energy future by making electric and environmental data meaningful, transparent and broadly accessible, working on problems that address all aspects of the electric grid including solar power, electric vehicles, energy efficiency, and more.

Required qualifications:

• Minimum 5 years experience applying technical skills to large and diverse datasets
• Deep technical and professional-grade Python development skills with Pandas, Numpy, SciPy, scikit-learn
• Expertise in SQL and working with data warehouses
• Experience developing research questions and designing experiments to test hypotheses

Compensation includes a base salary range of $112,000 - $162,000 plus equity (stock options). This is a fully remote role located anywhere within the United States.

Kevala works on accelerating a sustainable clean energy future by making electric and environmental data meaningful, transparent and broadly accessible, addressing all aspects of the electric grid including solar power, electric vehicles, energy efficiency, and more.