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Data Scientist

Lovable — Tracked from its ashby job board

Stockholm Mid Posted Oct 16, 2025
PythonGoRustSQLReactREST/APIsCloudFrontendBackendAI/LLM

About the role

TL;DR - We are looking for a data scientist to build Lovable's data and analytics muscle. You'll work cross-functionally across all teams to level up our understanding of users, uncover opportunities and empower everyone with the insights they need for data-driven decision making. Must combine analytical rigor with the ability to turn complex data into winning product bets.

WHY LOVABLE?

Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started.

We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.

WHAT WE’RE LOOKING FOR

- A business-minded data scientist who's excited to level up our analytics efforts: metrics frameworks, behavioral models, and hypothesis testing

- Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights

- Deep curiosity about user behavior and what actually drives growth and retention

- Ability to move between exploratory analysis, building behavioral models, hypothesis testing, and strategic recommendations

WHAT YOU’LL DO

- Work closely with growth, product, and marketing to identify key levers in the customer journey

- Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions

- Build dashboards, alerts, and automated reporting to keep the team informed and aligned

- Design and analyze experiments (A/B tests, growth tests) to understand, impact and inform strategy

- Monitor data quality and collaborate with engineering to maintain reliability

- Leverage AI tools and automation to scale your analysis and focus on high-impact questions

- Translate data into clear, actionable narratives that drive product and business decisions

OUR TECH STACK

We're building with tools that both humans and AI love:

- Frontend: React

- Backend: Golang and Rust

- Cloud: Cloudflare, GCP, AWS, Many LLM providers

- DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform)

And always on the lookout for what's next!

HOW WE HIRE

1. Fill in a short form then jump on an initial exploratory call.

2. Discuss your experience in more depth during a round of interviews with us.

3. Join us for a workshop lasting 1-2 days remote or onsite. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.

About your application

- Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.

- We treat all candidates equally - if you’re interested please apply through our careers portal.

What the index says about this role

  • First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
  • What Data Scientist roles ask for — across 355 indexed openings: Python (76%), SQL (63%), ML (58%), REST/APIs (34%), AI/LLM (30%). This posting names Python, SQL, REST/APIs, AI/LLM, Cloud, Go.
  • Lovable is hiring actively — 39 open roles indexed.

Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.

⚡ JobLarper watched this role appear on Lovable's official board on Oct 16, 2025. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.

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