Jobs Companies Accurant International Data Scientist

À propos de ce poste Data Scientist chez Accurant International

Accurant International · Télétravail · United States

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 

 

About Us 

FlexEnergi is solving some of the toughest challenges facing today’s utilities. With rising data center demand, more renewables, capacity shortages, and increasing extreme weather, utilities need reliable capacity that can be deployed fast and affordably. Our innovative business model delivers the lowest-cost, fastest- to-deploy capacity on the market.  We’re a small, nimble, and innovative company that moves quickly, experiments boldly, and rethinks how the grid can improve quickly. Joining FlexEnergi means helping build technology that strengthens reliability, resilience, and sustainability at scale. 

FlexEnergi proudly operates as part of the Accurant International portfolio of companies.    

 

Accurant International offers innovative solutions to tackle pressing climate and energy technology challenges through our portfolio companies. Our investments in fields ranging from renewable energy, smart grid systems, electric vehicles, optimizing energy usage in buildings, and other areas have allowed our alliance to lead the way in transforming various fields.  

 
Culture 

Privately owned, friendly and family-oriented company with growth and advancement opportunities and learning new advanced technologies. We are a customer focused and employee centered organization. Innovation is the core of our business philosophy. 

  

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.  

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

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Comment se compare ce salaire pour Data Scientist

Ce poste paie $135,000/yren dessous de la fourchette habituelle pour les postes Data Scientist.

$135,000 la médiane $199,125 $271,800

Fourchette typique $164,625–$240,335/yr, à partir de 194 annonces Data Scientist comparables sur JobsRadar (rémunération annualisée en USD). Voir les aperçus de salaire pour Data Scientist →

À propos de Accurant International

Accurant International is a mission-driven company with a vision to address climate change. We believe that the only way to create a sustainable future is to accelerate investments and solutions that address this global challenge.

Expedium Consulting, Renovo Automation and FlexEnergi are wholly owned subsidiaries of Accurant International building tech for efficient energy use and renewable power—driving a cleaner, greener future.

Voir tous les emplois chez Accurant International →

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