Energy Forecasting & Optimization Data Scientist (Remote)

Accurant International; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Remote work (US only)

Job summary

FlexEnergi, a subsidiary of Accurant International, is seeking a Data Scientist to lead forecasting and optimization within our DERMS platform. You will design models, productionize them, and integrate them into core product workflows, reporting to the Sr.

Director of Engineering from a remote US location. This senior individual contributor role requires 7+ years in data science or related fields, real-world electric load forecasting experience, and strong Python programming.

Qualifications

• 7+ years of experience in data science, applied statistics, quantitative engineering, or related fields.
• Real-world experience building electric load forecasting models.
• Strong programming skills in Python.

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 with engineering to define interfaces and data contracts.

Skills

Python

Forecasting

Optimization

Time-series

Statistics

Production deployment

Autonomy

Communication

Tools

Python

Job description

FlexEnergi, a subsidiary of Accurant International, is seeking a Data Scientist to lead forecasting and optimization within our DERMS platform. You will design models, productionize them, and integrate them into core product workflows, reporting to the Sr.

Director of Engineering from a remote US location. This senior individual contributor role requires 7+ years in data science or related fields, real-world electric load forecasting experience, and strong Python programming.