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# Data Scientist, Pricing

- **Company:** Lovable Labs Incorporated
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, BigQuery, Python (Programming Language), Standard Sql, SQL Databases, Google Cloud
- **Published:** August 15, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8vgrh5jf

## About the Role

* 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.

## Description

* 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

And we are always on the lookout for what's next.

How We Hire

 * Fill in a short form and jump on an intro call with our recruiting team
 * A call with the hiring manager
 * A take-home case study
 * A Most Impressive Project session
 * Cross-functional interviews with the people you'd work with
 * A final conversation with leadership, Please submit your application in English. It's our company language, so you'll be speaking it daily if you join.


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