Lead Data Scientist

Who We Are

Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability.

Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities. We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions including:

• Utility Bill Management:
  Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting.
• Energy Procurement Advisory:
  Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals.
• Sustainability Reporting:
  Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms.

Tackling an enterprise client’s most critical energy challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean, cost-effective electrons, we look forward to learning what you would uniquely bring to Arcadia!

What we’re looking for:

We are seeking an innovative and results-oriented Lead Data Scientist with a strong understanding of machine learning, generative AI, and data-driven product development to join our dynamic AI Strategy and Development Team. This pivotal role focuses on architecting and implementing cutting-edge AI solutions for the energy sector, working directly with leadership to shape our technical vision and product roadmap. This role will initially report to SVP, R&D.

Arcadia is remote-first and employees have access to co-working spaces. We are open to candidates based in Washington DC or New York.

#LI-REMOTE

• Collaborate directly with executive leadership to shape the technical AI strategy and product development at Arcadia
• Efficiently develop notebook-based and agentic solutions for internal and external customers, utilizing AI models, and Arcadia’s APIs and data
• Lead the development and integration of Gen-AI models and agents into Arcadia’s products and processes
• Design and implement Machine Learning algorithms for critical energy applications, including forecasting, anomaly detection, and energy optimization
• Partner with data teams, Arcadia’s subject matter experts, and customer teams to seek, understand, validate, interpret, and correctly use data, models, and outputs.
• Work with engineering to integrate models into the Arcadia Platform, contributing to design documents, code commits, and AI product documentation
• Contribute code to enhance our platform’s AI and data capabilities
• Collaborate effectively with remote team members

• Gen AI experience - both in the development of agentic / LLM-based product features and the use of Gen AI-based products in day-to-day model development
• 2-5 years of experience developing Machine Learning/AI-based systems in an iterative or dynamic/agile development environment. Experience in the energy sector is preferred.
• A minimum of 10-12 years of technical experience in data and/or engineering
• Master’s or Doctoral degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
• Practical experience with Applied Machine Learning techniques, including regression, classification, and supervised/unsupervised learning
• Fluency with Python or R, SQL, and Java or Java Script
• Experience with software engineering for real-world applications (ideally through professional experience)
• Strong foundation in mathematics including, linear algebra, calculus, probability, and statistics
• Experience with scalable machine learning…