Senior Data Scientist, RDC Next

About this role

<div class="content-intro"><p>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.</p> <p>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.</p></div><h3>About This Role:</h3> <p>This role serves as a senior analytics partner on RDC Next, with a focus on&nbsp;<a href="http://Realtor.com" target="_blank">Realtor.com</a> Plus — <a href="http://Realtor.com" target="_blank">Realtor.com</a>'s partnership platform connecting MLS organizations, their agent members, and consumers in a single collaborative home search experience. The position owns experimentation, business analytics, and reporting across both sides of the platform, delivering actionable insights that directly influence the product roadmap, market launch strategy, and broader business strategy.</p> <p>By partnering with cross-functional teams including Product, Engineering, Finance, Industry Marketing, and MLS partner data teams, the role ensures alignment on key business objectives, facilitates rapid innovation, and supports scalable solutions through advanced analytics, agent and consumer behavior insights, and performance measurement. The role is critical in surfacing high-impact opportunities as the network scales to new markets, improving data quality, and enabling self-service reporting to empower teams across the organization.</p> <h4>Top Reasons to Apply:</h4> <ul> <li><strong>High-Impact Strategic Ownership on Core Flagship Initiatives</strong> This isn't a passive maintenance role. Supporting the <strong>RDC+ platform</strong> and <strong>RDC Next initiatives</strong> places you at the absolute center of <a href="http://Realtor.com" target="_blank">Realtor.com</a>'s future consumer experience. You will directly influence agent and consumer home-buying journeys—driving product adoption, running high-stakes A/B experiments, and delivering proactive insights that shape core business strategy alongside cross-functional leadership.</li> <li><strong>Cutting-Edge "AI-Enabled Analytics" &amp; Agentic Workflows</strong> <a href="http://Realtor.com" target="_blank">Realtor.com</a> is actively redefining how data teams operate by building advanced AI platforms—moving far beyond basic prompting. You will work with top-tier tooling (Claude Code, Gemini) to build dedicated AI agents, leverage RAG, and potentially construct Model Context Protocol (MCP) integrations to automate complex reporting workflows. It offers a rare opportunity to pioneer and scale a master AI network that minimizes manual data tasks.</li> <li><strong>Strong Career Progression with High-Visibility Leadership: </strong>You will serve as a foundational anchor for a newly structured team under seasoned leadership. Beyond hands-on analytical execution, you will mentor incoming data scientists, establish code and documentation standards, and bridge the gap between Data Engineering, ML Engineering, and Product leadership, setting you up as a go-to technical authority in the organization.</li> </ul> <h3>What You’ll Do:</h3> <ul> <li>Collaborate with product, design, engineering, and marketing stakeholders across Realtor.com to identify the consumer and business questions where data science can add the most value, and shape product strategy with the answers.</li> <li>Own analytics end to end for consumer product initiatives — define success metrics and measurement plans, partner with engineering on instrumentation, run the deep-dive analysis, and land clear recommendations with product leadership.</li> <li>Apply advanced statistical and machine learning techniques to consumer behavior and clickstream data to surface the drivers of engagement, retention, and conversion, and translate those findings into strategic recommendations.</li> <li>Design and analyze experiments (A/B and quasi-experimental), and raise the bar on how the organization measures impact — from sound test design through correct interpretation of results.</li> <li>Build and maintain the datasets, metric definitions, pipelines, and dashboards that make consumer analytics trustworthy and self-serve for partner teams.</li> <li>Mentor other analysts and data scientists, and help set the analytical standards, documentation habits, and code quality expectations for the team.</li> <li>Partner closely with Data Engineering and Machine Learning Engineering teams to productionize models and improve the data foundation the whole organization relies on.</li> </ul> <h4>AI-Enabled Analytics</h4> <ul> <li>Use AI tooling — LLM assistants, AI coding and analysis agents, and internal AI platforms — to accelerate every stage of the analytics lifecycle, from data discovery and pipeline development to exploratory analysis and communicating results.</li> <li>Design and build AI-enabled analytics: LLM-powered synthesis of unstructured inputs such as consumer feedback and reviews, semantic search across data assets, and conversational or agentic interfaces that let stakeholders answer their own questions.</li> <li>Apply sound judgment and practical guardrails to AI-assisted work — validating AI-generated code and output, recognizing where models are unreliable, handling sensitive data appropriately, and being transparent about where AI was used.</li> <li>Stay current as the tooling evolves: evaluate new AI capabilities, pressure-test them on real problems, share what works with the team, and h