Senior Data Scientist

Core responsibilities:

• Develop and maintain models of distributed energy resources (DERs) and flexible energy assets for operational and financial optimization
• Build, test, and deploy optimization models using tools like Pyomo, AMPL, or similar with solvers such as Gurobi, CPLEX
• Develop production-grade software primarily in Python with strong attention to clean code, modularity, and performance
• Monitor, debug, and improve live optimization systems and supporting data pipelines

Your work directly impacts Uplight's mission of decarbonization and building a more sustainable future by creating clean energy capacity that can be used by the power grid instead of burning more fossil fuels, accelerating the transition to clean energy.

Required skills and experience:

• Proven experience in mathematical optimization (e.g., LP, MILP), especially in energy systems or similar domains
• Proficient in Python with production-level software engineering experience
• Strong understanding of electricity markets, DERs, and VPP operation
• Familiarity with optimization frameworks (e.g., Pyomo, AMPL) and solvers (e.g., Gurobi, CPLEX)
• Experience with CI/CD, Docker, version control, and observability practices

Comprehensive benefits including flexible time off, generous parental leave, a wellness stipend, and work flexibility. Salary range: $140,000-180,000 USD + bonus. Additional perks include robust learning and development programs, advancement opportunities, and an inclusive workplace with Employee Resource Groups.

Uplight is creating a new category of energy by making software that manages energy resources in homes and businesses to generate, shift, or save energy to balance the grid, making it more efficient and reliable. As a certified B Corporation, they're deeply committed to both social and environmental responsibility.