Level

Lovable

Data Scientist

Lovable is hiring a Data Scientist in Stockholm, Sweden. Level rates it ; you can apply on Lovable.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data scientist role: aI is not part of the work.
  • Level lists 80 other open roles at Lovable.

AI in this 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.

How we rate this

Data Scientist at Lovable rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

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$166k

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