Freelance Data Scientist: Build B2B Pricing Analytics for an AI Pricing Agent

We're building an AI pricing agent that helps B2B pricing teams plan and run large price changes, one customer and segment at a time. We need a hands-on data scientist to build the analyses behind it (segmentation, RFM, CLV, price-response, optimization, forecasting and post-change realization) as tested, repeatable code the agent can call. You'll own the methods and the quality checks; our engineering team handles the agent itself in a collaborative effort. We are a software company that is developing our analytics and AI capabilities. Our new pricing agent helps a client's pricing team run a large price change: it takes their data and strategic direction, runs the analyses, forecasts the impact, and writes versioned recommendations into our application. After the change goes live, it reports what actually happened and recommends fixes where results miss. About the project: The agent's core output is a micro-strategy: the right price move, timing and delivery for a specific customer or segment, backed by data and a forecast. Because many micro-strategies run at once, each one is also a small experiment we can learn from. The agent explains and orchestrates. The math has to come from tested analytical code, so the same inputs always give the same answer. That code is what you'll build.