Senior Data Scientist - AI for Energy & Sustainability

Arcadia; United States; Remote; USD 131,000 - 188,000; Full time

Benefits offered by this job

Flexible PTO

11 annual holidays

10 days sick leave

Up to 2 weeks bereavement leave

2 professional development days off

Parental leave benefits

75-95% employer cost coverage for med,

Job summary

Arcadia, the AI-powered energy intelligence platform, is seeking a Senior Data Scientist for its Applied AI team to ship ML/AI capabilities across core workstreams such as bill data extraction, forecasting, and audit/anomaly detection. You will collaborate with engineering and leadership to own ambiguous problems end to end and deliver production-ready solutions.

We value hands-on ML work, Python/SQL fluency, and experience with LLMs or agentic workflows in production, plus the ability to

Qualifications

• Substantial hands-on experience building and evaluating production ML models, with the judgment to make progress on ambiguous problems independently.
• 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.

Responsibilities

• 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.

Skills

ML fundamentals

Production ML

Clear communication

Decision making in ambiguity

Education

Bachelor's or Master’s in CS/Statistics/Math

Tools

Python

SQL

pandas

scikit-learn

numpy

Job description

Arcadia, the AI-powered energy intelligence platform, is seeking a Senior Data Scientist for its Applied AI team to ship ML/AI capabilities across core workstreams such as bill data extraction, forecasting, and audit/anomaly detection. You will collaborate with engineering and leadership to own ambiguous problems end to end and deliver production-ready solutions.

We value hands-on ML work, Python/SQL fluency, and experience with LLMs or agentic workflows in production, plus the ability to