Jupiter Power is an energy infrastructure company focused on the development, construction, and operation of energy storage assets in wholesale electricity markets. Formed in 2017, the company is a national leader in energy storage deployment, utilizing its proprietary dispatch optimization applications to maximize the value of our storage deployments to the grid. Backed by BlackRock’s Diversified Infrastructure business, Jupiter Power has a strategic and established portfolio of over 1,400 megawatt hours of utility-scale energy storage projects operating or in construction in the U.S., with a leading pipeline of over 11,000 megawatts in active development.
Jupiter seeks to hire a highly motivated and experienced professional as its Senior Data Science Software Engineer. The successful candidate will lead Jupiter’s data science initiatives, leveraging deep domain knowledge and hands-on experience in data engineering, machine learning and artificial intelligence to drive innovation and optimization across the organization. This role will be based out of our Houston, Texas office and will be subject to our return-to-office policy which currently requires employees come in 3+ days per week.
Note to candidates: Upon submitting an application for this role, you will be asked to provide written answers to 10 screening questions. Candidates will be evaluated based on their resumes and answers to these questions. Candidates that do not provide written answers will not be considered for the role.
Key Responsibilities
- Develop and implement advanced machine learning and AI models to optimize energy storage operations and market strategies through deep domain knowledge of mathematics, statistics behind the model structure and hyper parameters.
- Maintain and enhance real time models for power market for Jupiter’s proprietary dispatch optimization applications, ensuring they leverage the latest advancements in AI and machine learning
- Communicate complex technical concepts to non-technical stakeholders, providing insights and recommendations to support strategic initiatives.
- Conduct thorough research and stay updated on the latest trends and technologies in data science, AI, and energy storage.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement within the team.
- Collaborate with cross-functional teams, including engineering, finance, and operations, to identify data modeling solutions.
Requirements
- Graduate degree in Computer Science, Mathematics, Statistics, or a related field.
- 3+ years of experience in software development or data science focused on building time series regression models and forecasting projects.
- 2+ years of hands-on experience with big data technologies (e.g., Hadoop, Spark) and Databricks.
- Strong foundation in machine learning theory, statistics, and data quality management; expert in feature engineering and dealing with data quality issues.
- Proficient with ML/AI frameworks (e.g., TensorFlow, PyTorch, Keras) and LLM orchestration tools like LangChain.
- Proven success in end-to-end ML lifecycle management, using DataOps and MLOps best practices.
- Deep experience with one or more cloud platforms (e.g., AWS, GCP, Azure).
- Preferred but not : Familiarity with optimization methods for energy storage applications.
Jupiter Power does not discriminate based on a candidate's race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, disability, or any other protected class.