Senior Data Scientist, Arcadia
$131-188k
OTE
+ Equity
More information about location
Climate software & data company
Be an early applicant
Climate software & data company
1001+ employees
Be an early applicant
$131-188k
OTE
+ Equity
More information about location
1001+ employees
Company mission
To stop climate change and break the fossil fuel monopoly by making clean energy simple and accessible for all.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Arcadia believes that without access to clear and actionable consumer data, companies’ climate plans are likely to prove fruitless. Fortunately, data is something Arcadia has an abundance of, with access to 95% of US utility accounts.
The company actually started with a B2C model, matching residents with suitable renewable energy sources based on their utility bill data, then shifted into community solar projects. Now armed with a high volume of consensually-shared customer data, Arcadia’s B2B API platform, Arc, allows companies to access its datasets in order to optimize their offerings.
The platform is used by companies such as electric vehicle charging network EVgo, Ford, Oracle, and Airbnb. Its popularity and growth potential have helped Arcadia win major investment, which continues to support the further development of its products and help to accelerate its community solar business.
Steph
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Apr 2024
$50m
LATE VC
Dec 2022
$125m
LATE VC
Total funding: $561m
Company 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.
- Medical, dental, and vision: 80-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents. Transparency in coverage.
- Company-wide holidays: 15 annual company-wide holidays including a week long "summer break".
- Weekly "flex time": No internal meetings on Tuesdays and Friday afternoons.
- Paid leave: 12 weeks paid parental leave for all parents, 10 days sick leave, up to 4 weeks bereavement leave.
- Additional time off: 2 volunteer days off, 2 professional development days off.
Company HQ
Downtown, Washington, DC
Leadership
Kiran Bhatraju
(CEO & Founder)Former Legislative Assistant for the US House of Representatives, and former Truman National Security Project Fellow. Board Member at AppHarvest and member of the World Wildlife Fund National Council. Founded and was Director of Business Development at Energy company American Efficient from 2010 to 2014.
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