Data Scientist
New
A
Accurant InternationalEnergy Technology
Remote (US ONLY)Full-TimeSenior
Salary$120K to $150K USD
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonData science
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 and building supporting infrastructure
- Strong programming skills in Python
- Prior experience in electricity and capacity markets
- Knowledge of distribution grid topology and operational boundaries of batteries, EVs, and large commercial buildings
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 through deployment and monitoring
- Establish best practices for model development, validation, and performance monitoring
- Partner with engineering to define interfaces and system boundaries for quantitative services
- Provide technical leadership on quantitative methods
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