Senior Data Scientist

• Lead the development and refinement of statistical and ML models for load, flexibility, and customer behavior using AMI interval data and other energy datasets.
• Analyze customer and grid data to identify patterns for system planning and program design, and translate customer requirements into reusable platform capabilities.
• Validate models with structured backtesting, cross-validation, and uncertainty analysis, and communicate assumptions and tradeoffs to cross-functional partners.

Your work will directly contribute to grid affordability, reliability, and sustainability by unlocking the power of demand-side energy resources, making them visible, trusted, and accessible to all.

• Senior-level ability to lead analytic work with moderate to high complexity (equivalent to 5-8 years of relevant experience post Bachelor’s degree; advanced degree preferred).
• Expertise in modern supervised and unsupervised machine learning techniques, with strong Python and SQL skills and depth in Python data science tools (pandas, NumPy, SciPy, scikit-learn).
• Experience applying data science to energy systems, demand response, energy efficiency, distributed energy resources, or other complex physical systems.
• Solid grounding in statistics, uncertainty, and causal reasoning, with strong data visualization skills and ability to communicate technical concepts effectively.

Recurve offers production-scale data, deep technical challenges, and a collaborative team of data scientists and domain experts. This is a full-time, remote role for candidates within the United States or Canada. Salary not specified.

Recurve is dedicated to solving planetary challenges by decarbonizing the grid. Their analytics support the transition to a reliable, affordable, and sustainable energy future, helping utilities and regulators understand load growth, electrification impacts, and grid pressure.