Senior Data Scientist, AI — Production ML for Energy

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

Benefits offered by this job

Remote first culture

Flexible PTO

11 annual holidays

10 days sick leave

Bereavement leave (up to 2 weeks)

Volunteer days off

Professional development days off

Parental leave

Health, dental, vision coverage 75-95%

Job summary

Arcadia, the AI-powered energy intelligence platform, seeks a Senior Data Scientist for its Applied AI team to own end-to-end ML/AI workstreams—data extraction, forecasting, and anomaly detection—collaborating with engineering and leadership to translate ambiguous problems into shipped results.

You'll write production‑grade Python, help shape the team’s approach, and automate workflows with AI tooling, ensuring models perform in production and align with business goals.

Qualifications

• Substantial hands-on experience building and evaluating production ML models.
• Strong ML fundamentals — statistics, classification, regression, and evaluation methodology.
• Fluency in Python (pandas, scikit‑learn, numpy) and SQL, and comfort in a live production codebase.
• Practical experience with LLMs or agentic workflows in production.
• Comfort with imperfect ground truth and managing uncertainty in data.
• A track record of driving work with minimal oversight and clear decision making.
• Clear communication that adapts to engineers and non‑technical partners.

Responsibilities

• Own delivery of one or more core workstreams—bill data extraction, forecasting, or audit/anomaly detection.
• Build, evaluate, and improve production models and classifiers; forecast availability and spend; tune for audits and controls.
• Set the technical approach on problems where the right method isn't established; drive to a shipped result.
• Partner with the Director on prioritization and sequencing across workstreams.
• Write production‑grade Python and contribute to the shared codebase and design docs.
• Partner with engineering on model integration, monitoring, and post‑deployment behavior.
• Automate manual steps in your workflow with AI tooling and share techniques to raise throughput.

Skills

ML model development

Python programming

SQL

LLMs / agentic workflows

Communication

Independent work

Education

Bachelor's or Master's in CS, Statistics, Math, or related field

Tools

Pandas

Scikit-learn

NumPy

GitHub

Job description

Arcadia, the AI-powered energy intelligence platform, seeks a Senior Data Scientist for its Applied AI team to own end-to-end ML/AI workstreams—data extraction, forecasting, and anomaly detection—collaborating with engineering and leadership to translate ambiguous problems into shipped results.

You'll write production‑grade Python, help shape the team’s approach, and automate workflows with AI tooling, ensuring models perform in production and align with business goals.