Data Scientist New New York

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, building 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. What you’ll do 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. What we’re looking for Experience that counts 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. Technical skills that matter 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 The right mindset 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. The details Location: New York Work setup: We’re an in-person company that values collaboration and team culture. Everyone works in the office Tuesday through Thursday, with flexibility to work from home or the office on Mondays and Fridays. Compensation: $110,000–$170,000 per year, depending on experience. Benefits: 25 days annual leave; medical, dental, and vision benefits; 401(k) with optional matching contribution. What you can expect from Modo Energy We want to attract and retain the best talent at Modo Energy, and we give our people the freedom and opportunity to develop themselves and flourish. We are committed to building a diverse and inclusive team at Modo Energy, as we believe a variety of backgrounds, skills and interests is what makes our company stronger. If you share our values and our enthusiasm for supporting the transition to greener energy systems, we encourage you to apply. Please get in touch if you are interested and you don’t meet all the requirements, or if you exceed them Modo Energy is an equal opportunity employer. Our employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate against age, national origin, physical or mental disability, race, religion, pregnancy, sexual orientation, gender identity, veteran status, or any other characteristic protected by federal, state, or local law. If you need assistance or a reasonable accommodation during the application or interview process, please contact us at . #J-18808-Ljbffr