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
Benefits• Medical insurance
• Vision insurance
• Dental insurance
• Employer paid life insurance, AD&D, and disability insurance
• Competitive 401(k) match - up to 6%
• Performance based bonus
• Potential profit sharing
• Paid time off, holidays and other paid leave
