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Lovable

Data Scientist

Stockholm, Stockholm County, Sweden +1

Location
Stockholm, Stockholm County, Sweden · London, England, United Kingdom
Work
On-site
Employment
Full-time
Level
Not stated
Function
Data & AI
Pay
Not stated
Posted
12 months ago

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 is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.

Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.

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.

Source

Posted by Lovable on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 00:20 UTC; the original is the reference.

View the original ad ↗

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