Data Scientist, Product

Lovable; Stockholms kommun; On-site; SEK 900,000 - 1,300,000; Full time

Job summary

Lovable is building a software creation platform from Stockholm, with teams in London, Boston, New York, and San Francisco. We’re looking for a product-minded data scientist who owns a product area’s outcomes, finds opportunities, and ships bets supported by measurement and experimentation.

You’ll design instrumentation, surface insights, and ensure data quality, working closely with product and engineering to move activation, engagement, and retention.

Qualifications

• Proven experience using SQL and Python for data-driven product decisions.
• Strong statistics background and ability to run experiments (A/B tests).
• Deep understanding of activation, engagement, and retention metrics.
• Entrepreneurial and autonomous; comfortable with ambiguity.
• Experience building instrumentation and data pipelines.
• Collaborates with product and engineering to ship bets.

Responsibilities

• Own metrics and funnels for a product area, driving activation, engagement and retention.
• Turn user behavior insights into product bets and ship them with PMs and engineers.
• Design and run experiments; act on results.
• Build instrumentation, semantic models, and data agents for the team.
• Maintain data quality, definitions, and lineage.

Skills

SQL

Python

Statistics

Experimentation

User behavior

A/B testing

Autonomy

Tools

BigQuery

Pub/Sub

Hex

Lovable Apps

Job description

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.