Collaborate on ETL data pipelines, building predictive and optimization models, implementing tooling visualization/application, configuration for deployment.
Scale Minimum Viable Product (MVPs) into production systems and work with software engineers to harden prototypes into production-grade solutions — establishing the testing, monitoring, code quality, and deployment standards then manage execution through to launch.
Rapid AI prototyping with domain experts directly with energy and data center domain experts to rapidly prototype AI-enabled solutions, using their expertise to shape the problem framing and validate outputs.
Coordinate cross-functional stakeholder groups to make decisions about data, feature requests, model development and give updates on ongoing work stream and key milestones.
Minimum qualifications
Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
2 years of experience in energy industry.
2 years of development experience in data engineering, data science, or application engineering.
Preferred qualifications
Master's degree in Operations Research, Engineering, Economics, or a related quantitative field.
Experience in the energy sector, wholesale power markets, PPA/ESA structures, nodal pricing, load or price forecasting, storage economics, or carbon-free energy accounting.
Experience quickly building prototypes, and taking prototypes to production, including working with software engineers on testing, monitoring, and deployment standards.
Experience building full-stack analytics tooling, including data pipelines, backend services, and visualization or application front ends.
Ability to translate technical analysis into recommendations for executive and non-technical audiences.
Passionate about AI solutions and ability to quickly prototype to solve business challenges.
Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
2 years of experience in energy industry.
2 years of development experience in data engineering, data science, or application engineering.
