Data Scientist, Forecasting and Energy Storage System Optimization

Stem, Inc.

4d • $96,960 - $145,440 • Hybrid

About The Position

Stem is seeking a highly skilled and motivated Data Scientist to join our team. This role is focused on leveraging advanced data analysis, machine learning, and statistical modeling expertise to contribute to the development and optimization of our AI-driven clean energy platform in PowerTrack, Stem’s core suite of products. If you are a problem solver, critical thinker, and team player with a passion for using data to drive impact in the clean energy sector, we encourage you to apply.

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

Nice To Haves

• Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks
• Familiarity with microservices architecture and containerization (Docker, REST APIs)
• Basic understanding of kubernetes, deployment pipelines, and monitoring tools (Grafana, Kibana)
• Familiarity with time-series analysis, forecasting methods, and optimization techniques
• Knowledge of energy industry, utilities, renewable energy systems, or related domains
• Experience with CI/CD pipelines, and agile development methodologies
• Master's degree in a quantitative field
• Additional certifications in machine learning, data science, or related fields are a plus

Responsibilities

• 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

Benefits

• A competitive compensation package, including eligibility for a bonus or commission based on the role.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level