Data Scientist

Modo Energy•New York, NY

2d•$110,000 - $170,000•Onsite

About The Position

At Modo Energy, we're building the global standard for benchmarking and valuing the world's electrification assets - unlocking returns for battery energy storage, solar, wind and data centres. We’re looking for a smart, driven Data Scientist to join our US Forecasting team and help deliver Modo Energy’s power market forecasts to our users as we build trustworthy revenue projections across multiple geographies and asset classes. These tools are used by organizations across the industry to finance, build, benchmark, and operate the infrastructure assets that will power the energy transition.

Requirements

Bachelor’s degree or higher in a quantitative field (mathematics, engineering, computer science, physics, or similar)
3–5 years’ experience using Python (or another programming language such as R, C++, or Java)
Proven experience producing high-visibility, customer-facing analytical outputs
Previous experience modelling power systems and/or energy assets, particularly: Power price forecasting Optimisation and dispatch models Locational dynamics and real-time operations
Familiarity with US power markets, including renewable technologies, market design, and regulatory frameworks
A builder mentality, with a track record of using AI to optimise, improve, and innovate analytical workflows.
Strong quantitative and analytical skills with a track record of solving complex technical problems
Experience with the scientific Python stack (NumPy, Pandas, SciPy, scikit-learn)
Hands-on experience with cloud environments (e.g. AWS)
Experience with linear programming and optimisation frameworks
Curious, detail-oriented, and commercially aware. You care deeply about data quality, enjoy turning technical work into clear narratives, and thrive when working closely with engineers, product teams, and customers.

Responsibilities

Build market-leading models
Develop and enhance our in-house suite of power market and dispatch models, directly expanding the depth and accuracy of Modo’s product offering.
Turn complex data into insight
Source, process, and interpret large, complex datasets used as inputs to our forecasting and optimisation models.
Own quality and credibility
Analyse model outputs and perform rigorous quality assurance to ensure the highest standards across our published numbers and customer-facing deliverables.
Shape the forecast narrative
Craft the story behind our forecasts, including expectations around future policy, market design, and structural changes in power markets.
Build for the user
Work in a product-focused way to ensure our forecasts and tools align closely with user needs and deliver clear value across the wider Modo team.
Work across teams
Partner closely with our development team to ensure seamless integration of models and outputs into the Modo Energy Terminal.