Join Stem, Inc. - Principal Data Scientist Opportunity

Stem provides cutting-edge clean energy solutions and services engineered to enhance the economic, environmental, and resilience value of energy assets and portfolios. Utilizing our industry-leading AI-driven enterprise software platform, Athena®, we empower organizations to deploy and harness the value of clean energy assets on a large scale. Our powerful applications, including AlsoEnergy’s PowerTrack, streamline and optimize asset management while connecting a network of owners, developers, assets, and markets. Moreover, we offer integrated partner solutions to amplify returns across various energy projects, such as storage, solar, and EV fleet charging. For more information, visit .

Diversity and Inclusion at Stem

Stem’s culture champions diversity and inclusion beyond conventional aspects like gender, ethnicity, age, disabilities, and sexual orientation. We embrace varied experiences, personalities, communication styles, work ethics, and more. At our core, Stem operates at the pivotal intersection of clean energy and software technology, where diverse ideas and professional skills converge to foster an inclusive culture. By collaborating with data scientists, energy experts, sales professionals, visionary executives, and more, we transform traditional notions about software and energy into progressive, innovative solutions. Join us, and contribute to the world’s largest network of digitally connected energy storage systems.

What We Are Looking For

The Principal Data Scientist will be an integral part of Stem’s Wholesale Market Optimization & Controls team. You will develop state-of-the-art wholesale energy market products and conduct research in time series forecasting, building AI/ML capabilities at Stem. Collaborating closely with the Head of Controls and Optimization and other cross-functional team members, you will drive the technical direction of the forecasting capabilities on the Athena platform.

Responsibilities

• Collaborate with Market Analysts and Product Owners to create technical market entry roadmaps
• Design, develop, and launch new product features for energy assets
• Support real-time monitoring and performance analytics development using Stem’s platform
• Analyze complex operational software to understand failure modes
• Develop dashboards using Python, Jupyter, Kibana, and Tableau
• Create automated alerting solutions to detect operational performance issues
• Conduct R&D in time series forecasting, including advanced feature engineering and model development
• Collaborate with business development and product management to evaluate new market capabilities
• Work with other data scientists to scale and improve forecasting capabilities
• Participate in agile development processes and maintain high standards for automation and transparency
• Foster a strong technical culture with high-quality implementations and effective communication

Required Experience

• 5+ years of experience in building industry-leading software and data science products
• Prior experience in model development and time series forecasting
• Experience in delivering production-grade software in a test-driven environment
• Knowledge of agile practices
• Expert proficiency in Python and data science libraries such as numpy and pandas

Desired Technical Experience

• Solar generation forecasting and price forecasting
• Experience in the energy domain, including wholesale markets and solar + storage applications
• Familiarity with Docker, Kubernetes, and microservices architecture
• Experience with deep neural networks and tree-based models used in time series forecasting
• Proficiency with cloud technologies, preferably AWS
• Test-driven development experience including Unit tests, CITs, and SITs
• Proficient in using JIRA and Confluence
• Experience with CI/CD tools like Jenkins, CircleCI, TravisCI, Argo CD
• Expertise in ML libraries such as scikit-learn and keras

General Qualifications

• Exceptional communication skills with the ability to present complex technical topics to non-technical audiences
• Proven experience in high-quality companies known for engineering excellence
• Intellectually curious and willing to experiment with new technologies
• Decisiveness and the ability to make informed decisions quickly
• Experience with full life cycle agile engineering practices <