Level

Lovable

Data Scientist, Product

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

Level's read on this job

  • Uses AI ●●○○ is how Level rates this data scientist role: an ordinary role that requires AI tools.
  • The posting mentions SQL and Python among its tools and skills.
  • Lovable has 80 other open roles on Level.

AI in this role

Product data scientist owning metrics, experimentation, and instrumentation for an AI-powered software creation platform.

sqlpython

TL;DR - You own the metrics for a product area, find where users get stuck or drop off, and turn that into product bets that ship. You build the measurement and experimentation the teams rely on, and the systems that surface opportunities without waiting on you.

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 product-minded data scientist who owns a product area's outcomes: you find the opportunity, form the bet, and see it shipped, rather than handing insights to a PM.

  • You build systems, not one-offs: the instrumentation, metrics, and agents that produce insight and flag opportunities proactively.

  • Strong SQL, Python, applied statistics, and experimentation (A/B and growth tests).

  • Deep instinct for user behavior: activation, engagement, retention, and what moves them.

  • Comfortable shipping directional answers fast, and knowing when a decision needs rigor.

  • Entrepreneurial. Thrives with autonomy and ambiguity, and works shoulder to shoulder with product and engineering.

What you'll do
  • Own the metrics and funnels for a product area, and drive measurable improvement in activation, engagement, and retention.

  • Find opportunities in user behavior and turn them into product bets, working directly with PMs and engineers to ship them.

  • Design and run experiments, and act on the results.

  • Build the instrumentation, semantic models, and agents the product team runs on.

  • Keep the data the team trusts trustworthy: quality, definitions, and lineage.

Our tech stack

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

  • Languages: SQL and Python

  • Warehouse & events: BigQuery, PubSub

  • Analytics & product: Hex, Lovable Apps

  • Experimentation: A/B and growth testing

  • Cloud: GCP

And always on the lookout for what's next.

How we hire
  1. Fill in a short form and jump on an intro call with our recruiting team

  2. A call with the hiring team member

  3. A take-home case study

  4. A Most Impressive Project session

  5. Cross-functional interviews with the people you'd work with

  6. A final conversation with leadership

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, Product at Lovable rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SQLPython

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$166k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. What's a project where you used SQL hands-on?
  2. Walk me through how you've used Python in your day-to-day work.
  3. This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
  4. Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

  • List these exact terms on your resume: SQL and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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