Remote Data Scientist: Energy Forecasting & Optimization

Accurant; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

Employer paid life insurance

AD&D insurance

Disability insurance

401(k) match

Performance based bonus

Profit sharing

Paid time off

Job summary

FlexEnergi is hiring a Data Scientist to lead forecasting and optimization within our platform, reporting to the Sr. Director of Engineering. The role involves productionizing quantitative models for our DERMS/VPP capabilities in real-world grid environments.

This senior individual contributor position offers broad ownership across the full stack, from data plumbing to deployment, with a focus on electricity markets and distribution grid topology.

Qualifications

• 7+ years of experience in data science, applied statistics, or quantitative engineering.

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
• Establish best practices for model development, validation, performance monitoring, and operational robustness
• Partner with engineering to define interfaces, data contracts, and system boundaries for robust quantitative services
• Provide technical leadership on quantitative methods across the organization
• 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 sources
• 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

Job description

FlexEnergi is hiring a Data Scientist to lead forecasting and optimization within our platform, reporting to the Sr. Director of Engineering. The role involves productionizing quantitative models for our DERMS/VPP capabilities in real-world grid environments.

This senior individual contributor position offers broad ownership across the full stack, from data plumbing to deployment, with a focus on electricity markets and distribution grid topology.