Data Scientist - Lead Intelligence

Position: Staff Data Scientist - Lead Intelligence
Reference: 3370

Posted:

Location:

Austin, TXCompany:
Realtor.com Staff Data Scientist - Lead Intelligence

Location:

Austin, TX, United States Category:
Data Science & Analytics Job  Now Description Recognized  as the No. 1 site trusted by real estate professionals,  has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools,  not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.

Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

About the Role:

The Data Science & Analytics organization at  is looking for a Staff Data Scientist to build the scoring and optimization engine behind Lead Intelligence & Revenue Optimization.

This is a revenue management problem at national scale. Our inventory is consumer intent, and every lead is a perishable unit of it. You will determine what each lead is worth, who it should go to, and how the full supply should be distributed across clients, products, and geographies to maximize revenue. That means scoring likelihood to transact, valuing inventory by geography and intent signal, and solving allocation and distribution as an optimization problem rather than a set of static rules.

The constraints are real: product eligibility, client commitments, and the experience of both the consumer and the client. The signal is noisy and arrives continuously. You will define the objective function, build the models that feed it, and work with Engineering to put the results into production decisioning.

You will work at the intersection of lead quality and revenue outcomes, partnering with Product, Marketing, Pricing, Finance, Tech, and Client Engineering to turn models into automated decisions across the  ecosystem.

Top Reasons to Apply:

High-Impact Marketplace Optimization:
You will directly influence revenue routing and inventory allocation strategies across a massive, national two-sided marketplace.

Operations Research Applied to Revenue:
Formulate and solve the valuation and allocation problems that determine what each lead is worth and where it earns the most, with pricing as a direct partner at the table.

Full Ownership of Next-Gen Data Layers:
Take full ownership of our predictive close models and Lead-To-Transact pipeline, and set the standard for how these models are built, validated, and deployed.

Complex Data Problem Solving:
Uncover non-obvious revenue streams, such as identifying low-priority land-listing leads that actually convert into high-value single-family home transactions.

Direct Stakeholder & Executive Visibility:
Partner directly with Product, Tech, Pricing, Marketing, and Engineering, and bring your results and tradeoffs to VP and SVP audiences who act on them.

Scale and Consequence:
Work with clickstream, lead, and transaction data across a national marketplace, where the decisions your models make are measured in revenue and in client outcomes.

What You'll Do:

Lead Quality & Scoring:
Own and advance the predictive close models that score likelihood to transact, as part of the Lead-To-Transact pipeline, so that the leads we deliver generate revenue for the clients who pay us for them. Extend scoring beyond conversion to the expected value of a lead.

Inventory Valuation:
Build the models that value lead inventory by geography, product, and intent signal, and establish that…