Modo Energy · 17 hours ago
Data Scientist
Modo Energy is building the global standard for benchmarking and valuing electrification assets. They are seeking a Data Scientist to join their US Forecasting team to help deliver power market forecasts and build trustworthy revenue projections across multiple geographies and asset classes.
AnalyticsEnergyRenewable Energy
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
Qualification
Required
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
Benefits
25 days annual leave
Medical, dental, and vision benefits
401(k) with optional matching contribution
Company
Modo Energy
Modo Energy is an energy asset analysis platform that provides users with data, research, and benchmarking tools for energy storage.
H1B Sponsorship
Modo Energy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$53.38MKey Investors
Molten VenturesMMC VenturesFred. Olsen & Co.
2025-12-02Series B· $33.01M
2023-11-29Series A· $14.98M
2022-06-29Seed· $3.88M
Recent News
Energy-Storage.News
2026-01-14
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