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# Sr Data Scientist, Spotlight Listings

- **Company:** News Corporation
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Salesforce.Com, Transaction Data, Sql Optimization, Snowflake, Information Technology, Marketplace
- **Published:** July 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=915eff8923534800

## About the Role

* 5+ years of experience in data science or quantitative analytics, with a track record of owning a product or business unit's measurement framework end-to-end - not just contributing analyses to someone else's model
 * Deep fluency in causal inference and experimental design, including experience with marketplace or two-sided platform settings where standard A/B assumptions require adjustment
 * Advanced SQL and Python skills applied to large-scale clickstream and transaction data; experience with Snowflake and dbt strongly preferred
 * Demonstrated ability to translate analytical findings into commercial decisions, with evidence that your recommendations were adopted and had measurable revenue or product impact
 * Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field; advanced degree a plus

## Description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® 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, Realtor.com® 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.

Are you a marketplace analytics expert? Are you ready to own the commercial measurement engine behind one of real estate's most visible listing-promotion products? If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Senior Data Scientist, Spotlight Listings and help change the world of real estate, one home at a time.

What You'll Do:

 * Design and own the canonical performance measurement framework for Spotlight Listings - defining the KPIs that actually reflect product health at scale, building the SSOT dashboards that leadership and FP&A rely on weekly, and setting the instrumentation specs that make every new SPL surface measurable from day one
 * Build and maintain the inventory capacity model that determines token caps at the market level, calibrated against impression share and uplift targets, and partner with Sales to operationalize those limits as durable guardrails in Salesforce
 * Lead experimental design for SPL pricing, packaging, and renewal interventions - scoping tests with adequate statistical power, selecting the right estimators for a two-sided marketplace setting, and delivering readouts that are defensible at the executive level and actionable for the product team
 * Own SPL revenue and activation reporting end-to-end: weekly pacing for leadership, monthly inputs for FP&A, pack and subscription-level economics, and analytical support for enterprise agreements and Teams pricing pilots
 * Drive data quality and pipeline integrity across all SPL assets - investigating and resolving issues at root cause, coordinating with Engineering and the data platform team to close structural gaps permanently, and maintaining Tier 1 reliability standards
 * Partner with Product, Marketing, and Sales on pricing and packaging decisions, including a-la-carte vs. pack economics, guest checkout funnel conversion, and token-utilization patterns that predict renewal risk and inform proactive account outreach


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