Data Scientist, Product

Lovable
Stockholm
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Extreme ownership","High velocity","Low-ego collaboration","Autonomy","Comfort with ambiguity"]

Own the metrics and funnels for a product area, uncovering where users get stuck and translating insights into product bets shipped with PMs and engineers. Build and maintain instrumentation, semantic models, and agents that surface opportunities proactively. Design and run A/B and growth experiments, act on results, and ensure data quality through strong definitions and lineage.

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FursaFursa
Lovable
Lovable
12 hours ago

Data Scientist, Product

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own the metrics and funnels for a product area, uncovering where users get stuck and translating insights into product bets shipped with PMs and engineers. Build and maintain instrumentation, semantic models, and agents that surface opportunities proactively. Design and run A/B and growth experiments, act on results, and ensure data quality through strong definitions and lineage.
Location: Stockholm
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the metrics and funnels for a product area, driving measurable improvement in activation, engagement, and retention.
  • •Identify opportunities in user behavior and turn them into product bets with PMs and engineers to ship changes.
  • •Design and run experiments, then act on results.
  • •Build instrumentation, semantic models, and agents used by the product team.
  • •Maintain trustworthy data through quality, definitions, and lineage.

Key Requirements

  • •Own a product area’s outcomes by finding opportunities, forming bets, and seeing them shipped with teams.
  • •Build systems for measurement including instrumentation, metrics, and proactive opportunity flagging.
  • •Strong SQL, Python, applied statistics, and experimentation (A/B and growth tests).
  • •Deep instinct for user behavior across activation, engagement, and retention.
  • •Comfort delivering directional answers quickly while knowing when to apply rigor.
Skills:Extreme ownershipHigh velocityLow-ego collaborationAutonomyComfort with ambiguity
Languages:English
Tech Stack:SQLPythonBigQueryPubSubHexGCPA/B testingGrowth testing

Company Brief

Lovable
Lovable builds a conversational AI platform that lets users create apps and websites by chatting with AI, automating full‑stack development and integrations to rapidly produce production-ready software.
Industry: Developer Tools
Company Size: Medium (51 to 250 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: Stockholm, Sweden
Founded: 2023
WebsiteLinkedInGlassdoor