Senior 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  Senior 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 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, New York, or Seattle.

#LI-REMOTE

 What you'll do:

• Collaborate directly with executive leadership to shape the technical AI strategy and product development at Arcadia
• Efficiently develop notebook-based solutions for customers, utilizing AI models, and Arcadia’s APIs and data
• Lead the development and integration n of Gen-AI models into Arcadia’s products and processes
• Design and implementMachine 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

What will help you succeed:

• 2-5 years of experience working in fast-paced technology environments, developing ML/AI-based systems for the energy industry
• 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 
• 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
• 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
• Intellectually curious, motivated, solution-oriented, and committed to making a positive impact
• Excellent verbal and written communication.
• Project portfolio (GitHub, papers, etc.).

Benefits:

• "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 employees can take each year
• 15 annual company-wide holidays including a week-long "summer break"
• 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
• Weekly "flex time" - no internal meetings on Tuesdays and Friday afternoons
• 80-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents
• Annual budget to use on conferences, books, classes, workshops or anything that contributes to professional development
• A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency

Eliminating carbon footprints, eliminating carbon copies.

 Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.