Senior Data Scientist

Who We Are:

Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale.

Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon.  

We deliver this through three comprehensive solutions:

• Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing.
• Energy Procurement Advisory: Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. .
• Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms.

Tackling the world's most complex energy challenges requires diverse thinking. We're building teams of people from different backgrounds, industries, and disciplines — united by a belief that energy management should be simple, intelligent, and a genuine driver of business value.

We're looking for a Senior Data Scientist to join Arcadia's Applied AI team — a small, delivery-focused group within R&D that ships the machine learning and AI systems powering Arcadia's utility data platform. This is a hands-on role standing up new ML / AI capabilities across our core workstreams: utility bill data extraction, forecasting, and audit/anomaly detection. You'll work closely with engineering partners and the Director of Applied AI, with the experience to own ambiguous problems end to end, set the technical approach where none exists yet, and help shape how the team sequences its work.

What you will do:

Own delivery of one or more core workstreams — bill data extraction, forecasting, or audit/anomaly detection — and flex across them with your manager as priorities shift.

Build, evaluate, and improve production models: document classifiers and extraction agents, forecasting models for bill availability and spend, and detection and tuning for audits and controls.

Set the technical approach on problems where the right method isn't established — investigate, decide, and carry the recommendation through to a shipped result.

Partner with the Director on prioritization and sequencing across workstreams, bringing a point of view on where the team should invest rather than only the capacity to execute.

Write production-grade Python and contribute to the shared codebase, pipelines, and design docs — this is a live production system, not a notebook sandbox.

Partner with engineering on model integration, monitoring, and post-deployment behavior – as the authority on the modeling approach and the team's resource for applying AI in production.

Automate manual steps in your own and the team's workflow with AI tooling, and share the techniques that raise throughput.

What will help you succeed:

Substantial hands-on experience building and evaluating production ML models, with the judgment to make progress on ambiguous problems independently. The right person will need at least 3 years of experience working in ML models.

Strong ML fundamentals — statistics, classification, regression, and evaluation methodology.

Fluency in Python (pandas, scikit-learn, numpy) and SQL, and comfort working in a live production codebase not just notebooks.

Practical experience with LLMs or agentic workflows in production.

Comfort with imperfect ground truth and managing inherent uncertainty in data.

A track record of driving work with minimal oversight: forming and documenting assumptions, making the call on approach, and standing behind a recommendation.

Clear communication that adapts to the audience: able to explain model behavior to engineers and non-technical partners and make the case for a decision.

Bachelor's or Master's in CS, Statistics, Math, or a related field (or equivalent experience), plus a portfolio of past work — GitHub, papers, or project write-ups.

Benefits:

“Remote first” culture: work anywhere in the continental 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.

11 annual holidays

10 days sick leave

Up to 2 weeks bereavement leave

2 volunteer days off

2 professional development days off

Parental leave benefits for all parents

75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents

Celebrating Diversity and Inclusion

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 by emailing careers@arcadia.com prior to completing your application.

Target annual compensation range for this role will be $131,000 to $188,000 There will also be a competitive benefits and equity (bonus if applicable) component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate.

Automated Screening: Arcadia uses AI-assisted technology to evaluate candidates on relevant skills, experience, and education as outlined in the job description. Human review is part of all hiring decisions. Candidates may request an alternative selection process by contacting careers@arcadia.com before submitting their application.

Data Privacy & California Residents: You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California residents: this collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting careers@arcadia.com

Visa Sponsorship

Select R&D & Data roles: We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team.

Other roles: Please note that we are unable to offer visa sponsorship for this position at this time.