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Posted Jun 2, 2026

Data Scientist, Forecasting – Energy Storage System Optimization

Job Description: • Develop, implement, and deploy machine learning models and statistical analyses to optimize energy storage and solar asset performance across Stem's portfolio • Design and build data pipelines to extract, transform, and analyze large-scale datasets from energy systems • Collaborate with software engineering, product management, and energy experts to integrate data-driven solutions into PowerTrack platforms • Create data visualizations, dashboards, and reports to communicate insights and recommendations to stakeholders • Conduct exploratory data analysis to identify trends, patterns, and opportunities for improving system performance and business outcomes Requirements: • Minimum of 1-3 years in data science, analytics, machine learning, or related field • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field, or equivalent experience • Proficiency in Python and data science libraries (pandas, numpy, scikit-learn, TensorFlow or PyTorch) • Familiarity with optimization libraries (e.g. CVXPY) and experience formulating or interpreting constrained optimization problems • Strong SQL skills and experience working with large datasets using SQL or SQL-like query languages. • Comfortable using modern AI coding assistants (Cursor, Claude Code, GitHub Copilot, etc.) to accelerate development • Experience writing well documented, well tested, and maintainable code • Version control with Git and experience using GitHub, GitLab, or Bitbucket • Experience prototyping analyses in Jupyter notebooks and building lightweight data applications to explore and communicate insights, using tools such as Matplotlib, Seaborn, Plotly, and frameworks like Streamlit or Dash. • Strong analytical and problem-solving skills with expertise in statistical methods and machine learning algorithms • Excellent communication and presentation abilities with capacity to translate complex technical findings for diverse audiences. Benefits: • Full health benefits on the first day of employment (several medical plan options-HDHP and PPO, dental plans, FSA/HSA-with employer contribution, employer paid vision/LTD/STD/Life, variety of voluntary coverage) • 401k (pre- or post-tax) on first day of employment • 12 paid calendar holidays per year • Flexible time-off