Data Scientist

This listing is synced directly from the company ATS.

Role Overview

This mid-to-senior data scientist role involves analyzing user behavior, building dashboards, and designing experiments to drive product and business decisions. You'll work cross-functionally with growth, product, and marketing teams to uncover insights and support data-driven strategies. The impact includes enhancing analytics efforts and empowering the team with actionable data narratives.

Perks & Benefits

The role is fully remote with a team based in Stockholm, likely requiring some overlap with European time zones. The company offers a collaborative, low-ego culture focused on high velocity and extreme ownership, with opportunities for career growth in a talent-dense, generation-defining environment. Benefits may include flexible work arrangements and exposure to cutting-edge tech tools.

⚠️ This job was posted over 3 months ago and may no longer be open. We recommend checking the company's site for the latest status.

Full Job Description

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 lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.

We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.

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.

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