Data Scientist, Pricing

The role

You will own the data behind pricing and packaging. You will turn usage, cost, and willingness-to-pay data into pricing bets, run experiments, and build models to measure revenue and retention impact.

What you will do

• Own the analytics behind pricing and packaging.
• Build models for unit economics, willingness to pay, and price sensitivity.
• Design and execute pricing and packaging experiments.
• Build systems that operationalize pricing decisions.
• Collaborate with finance, product, and growth to sequence and ship pricing changes.

Required qualifications

• Strong SQL, Python, applied statistics, and experimentation skills.
• Deep understanding of unit economics including LTV, margin, token and infrastructure cost, willingness to pay, discounting, and subscription or credit models.
• Ability to work with causal questions where a clean A/B test is not always possible.
• Ability to build systems such as discounting or packaging models that run on user records.
• Ability to work closely with finance, product, and growth teams.

About the company

Lovable is a software creation platform that allows people to act on problems. It is one of TIME's 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50.