Data Scientist, Forecasting – Energy Storage System Optimization

Stem, Inc.

Data Scientist leveraging advanced data analysis and machine learning for clean energy platform in PowerTrack. Collaborating with diverse professionals to enhance energy storage and solar asset performance across Stem's portfolio.

Posted 6/3/2026full-timeRemote • Arizona, Colorado, Idaho, Kansas, Massachusetts • 🇺🇸 United StatesJunior💰 $96,960 - $145,440 per yearWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningstatistical analysisdata pipelinesPythonpandasnumpyscikit-learnTensorFlowPyTorchSQL

Soft Skills

analytical skillsproblem-solving skillscommunication skillspresentation skills