Data Scientist, Pricing
AI platform for creating, deploying, and managing full-stack software through natural-language interaction.
Maintainer signals as of 9/25/2026
Funding history
About Lovable
Lovable lets people describe an idea in plain language and collaboratively build production-grade software. Its platform includes hosting, authentication, payments, integrations, security features, and deployment infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own the analytics behind pricing and packaging by analyzing usage, costs, willingness to pay, revenue, conversion, and retention; building unit economics and pricing models; running pricing experiments; and operationalizing decisions such as personalized discounting.
Requirements
- Strong SQL and Python
- Applied statistics
- Experimentation skills
- Understanding of unit economics
- Knowledge of LTV, margin, token and infrastructure cost, willingness to pay, discounting, and subscription or credit models
- Ability to address causal questions when A/B testing is not possible
- Ability to build operational systems
- Strategic judgment regarding growth and monetization
- Ability to work with finance, product, and growth teams
Responsibilities
- Own analytics for pricing and packaging
- Analyze the impact of pricing changes on revenue, conversion, and retention
- Build models for unit economics, willingness to pay, and price sensitivity
- Translate analysis into pricing decisions
- Design and execute pricing and packaging experiments
- Operationalize pricing decisions through systems such as personalized discounting
- Collaborate with finance, product, and growth teams to ship pricing changes
Hiring Process
1. Short form and intro call with recruiting. 2. Hiring manager call. 3. Take-home case study. 4. Most Impressive Project session. 5. Cross-functional interviews. 6. Final conversation with leadership.
