Data Scientist

🕒 July 10

🇺🇸 United States – Remote

💵 $120k - $150k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

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Accurant International

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

⚡ Energy

💼 Consulting

💳 Fintech

Energy • Consulting • Fintech

Accurant International is a company specializing in energy and grid consulting, providing capital investment and business advisory services tailored for various industries, with a strong focus on Energy, Utilities, Renewables, and Grid Modernization. The company leverages its expertise to help enterprises develop strategic plans to enhance growth and achieve remarkable results. Additionally, Accurant International offers innovative solutions through professional services, advising clients on commercialization, sales, marketing, technology, and product integration, aiming to support the success of clean-tech initiatives.

📋 Description

• 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

🏖️ 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