Lead Data Scientist

• 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 JavaScript
• 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 (MapReduce, streaming).
• Experience with time series and dynamical systems.
• Ability to manage projects and work efficiently independently and collaboratively
• Ability to quickly formulate and document assumptions to advance projects
• Strong commitment to continuous learning and professional growth, solution-oriented, and committed to making a positive impact
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Prepared to share project portfolio (GitHub, papers, etc.).

Experience in the energy sector is preferred.

• "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection
• Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year
• 12 annual holidays
• 10 days sick leave
• Up to 4 weeks bereavement leave
• 2 volunteer days off
• 2 professional development days off
• 12 weeks paid parental leave for all parents
• 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents