Job Opportunities API

Hiring Entity: FlexEnergi, a Subsidiary of Accurant International  Location: Remote (US ONLY)  Status: Exempt  Salary Range: $120K to $150K USD  Job Title: Data Scientist    Position Description   We are hiring a Data Scientist to lead forecasting and optimization efforts within our platform. Reporting to the Sr. Director of Engineering, this role will define how quantitative models are built, productionized, and integrated into the system’s core functionality. Our DERMS creates and runs virtual power plants (VPPs), requiring forecasting and optimization of delivered capacity in real-world grid environments.   This is a senior individual contributor role with broad ownership. You will design and deploy forecasting and optimization systems that directly shape product behavior and operational workflows. The role requires comfort working across the full stack of quantitative development — from raw data plumbing to production deployment.   The candidate must have prior experience in electricity and capacity markets; must be knowledgeable in distribution grid topology; and operational boundaries of batteries, EVs, and large commercial buildings.   Job Responsibilities  Design, build, and maintain forecasting and optimization models embedded in core product workflows  Model asset behavior, weather impacts, and behind-the-meter resources  Translate operational and business requirements into quantitative frameworks and production systems  Own the full lifecycle of quantitative systems — from data ingestion, pipelines, schemas, and interfaces through deployment, monitoring, and reliability in production  Establish best practices for model development, validation, performance monitoring, and operational robustness  Partner closely with engineering to define interfaces, data contracts, and system boundaries that enable robust quantitative services  Provide technical leadership and guidance on quantitative methods across the organization  Requirements 7+ years of experience in data science, applied statistics, quantitative engineering, or related fields  Real-world experience building electric load forecasting models  Strong understanding of constraint programming and multi-objective optimization for real-time systems  Experience building optimization models and implementing them in energy / capacity markets  Background in time-series analysis and regression-based modeling  Proven experience deploying and maintaining models in production environments  Comfort working with highly variable real-world data from numerous and varying sources, and building the supporting infrastructure  Strong programming skills in Python (or similar)  Ability to operate autonomously and make sound technical trade-offs  Strong communication skills across technical and non-technical audiences  Nice to Have  Experience in the DERMS / VPP space  Familiarity with US energy and capacity markets specifically  Background in Bayesian modeling  Knowledge of distribution grid topology and the operational boundaries of batteries, EVs, and large commercial buildings    About Us  FlexEnergi is solving some of the toughest challenges facing today’s utilities. With rising data center demand, more renewables, capacity shortages, and increasing extreme weather, utilities need reliable capacity that can be deployed fast and affordably. Our innovative business model delivers the lowest-cost, fastest- to-deploy capacity on the market.  We’re a small, nimble, and innovative company that moves quickly, experiments boldly, and rethinks how the grid can improve quickly. Joining FlexEnergi means helping build technology that strengthens reliability, resilience, and sustainability at scale.  FlexE