Data Scientist, Pricing
You will own the analytics behind pricing and packaging. You will analyze usage, costs, willingness to pay, revenue, conversion, and retention; build unit economics and pricing models; run pricing experiments; and operationalize decisions such as personalized discounting.
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
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