Our Client Currently looking for Data Scientist, Pricing
What We’re Looking For
- Commercially-minded owner: A data scientist who owns pricing and packaging outcomes. You find the opportunity, model it, test it, and drive the change.
- 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. You are comfortable with causal questions where a clean A/B test is not always possible.
- Systems builder: You build the systems that price and package, such as discounting or packaging models that run on user records, rather than just delivering one-off analyses.
- Strategic judgment: An instinct for the tradeoff between growth and monetization, and the judgment to know when to prioritize each.
- Entrepreneurial spirit: You thrive with autonomy and enjoy working closely with finance, product, and growth teams.
What You’ll Do
- 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.
Our tech stack
We’re building with tools that both humans and AI love:
- Languages: SQL and Python
- Warehouse & events: BigQuery, PubSub
- Analytics & product: Hex, Lovable Apps
- Experimentation: A/B and growth testing
- Cloud: GCP
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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