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Data Scientist, Pricing

Lovable· EPD
Apply on company site
Stockholm, LondonFull-timePosted 2mo ago

About the role

Data Scientist focused on pricing and packaging analytics, owning pricing outcomes, building unit economics models, running experiments, and developing systems to operationalize pricing decisions.

Responsibilities

  • Own the analytics behind pricing and packaging: what we charge, how we package it, and the impact of changes on revenue, conversion, and retention.
  • Build models for unit economics, willingness to pay, and price sensitivity, translating them into concrete pricing bets.
  • Design and execute pricing and packaging experiments, and act decisively on the results.
  • Build the systems that operationalize pricing decisions, such as personalized discounting based on user records.
  • Collaborate with finance, product, and growth to sequence and ship pricing changes effectively.

Qualifications

  • Commercially-minded owner: A data scientist who owns pricing and packaging outcomes.
  • Economics fluency: Deep understanding of unit economics including LTV, margin, token and infrastructure cost, willingness to pay, discounting, and subscription or credit models.
  • Technical rigor: Strong SQL, Python, applied statistics, and experimentation skills; comfortable with causal questions where clean A/B tests are not always possible.
  • Systems builder: Ability to build pricing/packaging models that run on user records, not just one-off analyses.
  • Strategic judgment: Ability to balance growth and monetization tradeoffs.
  • Entrepreneurial spirit: Autonomy and collaboration with finance, product, and growth teams.

Skills

Required:Pricing and packaging analyticsUnit economics modeling
Last updated Sep 9, 2026. Interested? Apply on the company site.
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