About the role
You will transform raw data from thousands of installations into actionable insights to optimize pricing, sizing, and operations. Additionally, you will build and maintain dashboards while collaborating with cross-functional teams to answer critical business questions.
What they look for
Requirements
Candidates must be fluent in SQL and Python with a strong business-oriented mindset and the ability to work in both Swedish and English. A curiosity for physical systems and experience working with data-driven decision-making are essential for this role.
Full description
We're hiring a Data Scientist who can tell the difference between a chart that looks good and a chart that changes a decision.
Elvy helps Swedish households produce, store and use their own renewable energy. Solar, batteries, heat pumps and electricity retail, all from one partner. Every installation generates a firehose of data (inverter, grid, weather, consumption) and every decision (pricing, sizing, operations) benefits from someone who can make sense of it.
What you'll do
- Turn raw data from 10k+ installations into insights that change how we price, size, install and operate.
- Build and maintain dashboards the rest of the company actually uses.
- Partner with ops, sales and product to answer questions like "why did this cohort's savings drop?" and "should we change how we size heat pumps?"
- Ship models where a model is the right answer, and ship SQL where it isn't.
Who you are
Fluent in SQL and Python. You'd reach for a notebook before a dashboard tool, and a dashboard tool before a slide deck.
Business-literate. You've worked close enough to a P&L to know why a 2% assumption shift matters.
Curious about physics. Solar and heat pump data obey physical laws. That's a gift to the analyst.
Bilingual enough to work in Swedish and English. A lot of our ops team works in Swedish. Our engineering team works in English.
Current stack: Frontend: React app in JS/TS, built on Panda CSS (sadly) and TanStack, deployed on Vercel. Backend: FastAPI in Python, containerized with Docker and deployed on GCP. Claude is doing alot of things to.
Practical information
- Location: Elvy HQ, hybrid (2-3 days in office)
- Employment: Full-time, permanent
- Compensation: Market rate for the role and experience, we share the range at first call
- Start: Flexible
Don't match everything? Apply anyway. A good sample of analysis beats a long CV.
Help us prove, with data, that Swedish households save more with Elvy than with anyone else.
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