Data Scientist

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

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
• 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

It is the policy of FlexEnergi not to discriminate against any applicant for employment, or any employee because of age, color, sex, disability, national origin, race, religion, or veteran status.