Data Scientist, Growth

Lovable; Stockholms kommun; On-site; SEK 600,000 - 1,000,000; Full time

Job summary

Lovable, the software creation platform, is seeking a growth-focused data scientist to own the funnel from acquisition to expansion. You will partner with growth engineering to ship experiments, surface growth opportunities, and drive data-driven decisions in a fast-paced environment.

You will be the first data scientist in the growth function, designing metrics, instrumentation, and experiments to push activation, retention, and expansion, while aligning with Lovable's ambitious product growth

Qualifications

• Strong SQL, Python, applied statistics, and heavy experimentation (A/B and growth tests) in a fast-moving environment.

Responsibilities

• Own the growth funnel metrics end to end and drive measurable improvement across acquisition, activation, retention, and expansion.
• Find the highest-leverage opportunities in the funnel and turn them into experiments that ship, working with growth engineers.

Skills

SQL

Python

Statistics

A/B testing

Job description

TL;DR — The first data scientist in our new London growth team. You own the growth funnel end to end, from acquisition to activation to retention to expansion, find the levers, and work directly with growth engineering to ship experiments into the product. Not decision support: you drive the numbers.

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 growth-minded data scientist who owns funnel outcomes: you find the lever, run the experiment, and drive the metric, working shoulder to shoulder with growth engineers.

• Deep instinct for acquisition, activation, retention, and expansion, and what actually moves them.

• Strong SQL, Python, applied statistics, and heavy experimentation (A/B and growth tests) in a fast-moving environment.

• You build the systems and agents that surface growth opportunities proactively, not one-off analyses.

• Comfortable shipping fast with directional reads, and knowing when rigor matters.

• Entrepreneurial and autonomous. Excited to be first in seat and shape how growth data works at Lovable.

What you'll do

• Own the growth funnel metrics end to end and drive measurable improvement across acquisition, activation, retention, and expansion.

• Find the highest-leverage opportunities in the funnel and turn them into experiments that ship, working directly with growth engineering.

• Design, run, and read growth experiments, and act on them.

• Build the instrumentation, metrics, and agents the growth team runs on.

• Help shape the growth data function as its first data scientist.

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.