We are seeking a talented Data Scientist to join Stem’s machine learning and simulations team. This individual will play a crucial role in advancing our time series forecasting capabilities, contributing to the development of our state-of-the-art forecasting pipeline. Collaborating closely with the Head of Controls and Optimization and cross-functional team members, the Data Scientist will drive the technical direction of Athena’s forecasting capabilities.
Responsibilities
- Conduct R&D in all aspects of time series forecasting products, including advanced feature engineering and model development.
- Implement, validate, and productize new features in the forecasting product suite.
- Collaborate with the operations team to deploy and stabilize new forecast products and support active production issues.
- Partner with business development and product management to evaluate capabilities in new markets and provide inputs into technology roadmaps.
- Work with other data scientists to scale and expand forecasting capabilities.
- Participate in agile development processes, maintaining high standards for automation, quality, and transparency.
- Foster a strong technical culture characterized by high-quality implementations, effective communication, decisiveness, constructive conflict resolution, and a can-do mentality.
- Establish effective and collaborative cross-functional working relationships with peers, developers, and the product management and operations teams.
Required Experience
- 8+ years of experience in delivering industry-leading software and data science products.
- Proven experience in model development and time series forecasting.
- Expertise in delivering production-grade software in a test-driven environment with a dev-ops mentality.
- Proficiency with agile practices.
- Expert knowledge of Python and data science libraries such as numpy and pandas.
- Application areas: solar generation forecasting, price forecasting, GenAI, and APM Analytics.
- Energy domain experience, familiarity with wholesale markets and solar + storage applications.
- Experience with Docker, Kubernetes, and microservices architecture.
- Knowledge of deep-neural-network architectures and tree-based models used in time series forecasting.
- Experience with cloud technologies, particularly AWS.
- Test-driven development, Unit tests, CITs, SITs.
- Power user of JIRA, Confluence.
- Experience with CICD tools such as Jenkins, CircleCI, TravisCI, Argo CD.
- Algorithm ops, Testing, Validation, Feature engineering, A/B testing.
- Experience with ML libraries such as scikit-learn and keras.
Qualifications
- M.S. or Ph.D. in Engineering, Applied Physics, or Applied Mathematics.
- 8 years of experience as a data scientist building state-of-the-art machine learning pipelines.
- Exceptional communication skills, capable of presenting complex technical topics to non-technical audiences.
- Background in high-quality companies known for engineering excellence is highly desirable.
- Intellectually curious with an interest in experimenting with cutting-edge technologies.
- Decisive, able to gather data and make informed, critical decisions quickly.
- Experience in full life cycle agile engineering practices, from concept and design to continuous release and maintenance.
- Entrepreneurial spirit with a successful track record in high-growth companies.
- Positive, energetic, can-do attitude with a drive to succeed, high integrity, and strong ethical principles.
Stem, Inc. is an equal opportunity employer committed to diversity in the workplace and does not discriminate against any employee or applicant for employment based on race, color, sex, pregnancy, religion, national origin, ethnicity, citizenship, sexual orientation, gender identity, age, marital status, disability, genetic information, military status, protected veteran status, or any other factor protected by applicable federal, state, or local laws.
Join us at Stem and be a part of the clean energy transformation. Apply now to make a significant impact on the future of energy.