Staff Data Scientist

Staff Data Scientist Location: Austin, TX, United States Category: Data Science & Analytics Job ID: 3229 Apply Now 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. Who We Are: Realtor.com® is your one stop shop for homebuyers, sellers, and renters. We make it easy for consumers to choose a place to live whether it's renting a condo or buying new construction. For over 20 years, millions of home shoppers and renters have turned to Realtor.com® to find their dream home or rental. Top Reasons to Apply: You'll set the data science strategy for one of the highest-traffic sites in real estate, with visibility at VP+ leadership—and the backing to fix things at the root: better tracking, scalable pipelines, and higher data quality standards across the company, not just your own team. This is a real staff-level IC role, not a stepping stone into management. You'll go beyond standard A/B testing into geo-experiments, synthetic controls, and other causal inference methods for problems that don't have a textbook answer, while mentoring senior data scientists and setting the team's technical direction. Industry-Leading AI and Modern Tech Stack: Realtor.com is recognized by vendors as a top-tier leader in AI adoption. You'll work daily with a modern analytics stack—Python, Snowflake, Amplitude, dbt, and Airflow—plus advanced AI-native tools like Streamlit, MCPs, and Windsurf, at the frontier of how the industry applies AI to data science. About the Role: This is a senior technical leadership role on the Consumer Data Science & Analytics team, responsible for measurement and analytics strategy across 's consumer product experiences—spanning content and visualization, search and personalization, and other high-priority consumer initiatives. As a Staff Data Scientist, you'll operate as a player-coach: owning the most ambiguous, highest-visibility analytical problems end-to-end while setting the technical bar and mentoring other data scientists on the team. You'll partner directly with Product, Engineering, and senior leadership to define what gets measured and why, shape multi-quarter experimentation and measurement roadmaps, and exercise the judgment to say no to low-value ad hoc requests in favor of the analyses that move the business. What You’ll Do: Own a high-visibility, cross-team initiative end to end—from framing the business question through method selection, execution, and socializing recommendations with senior stakeholders—with minimal oversight. Set the analytical and experimentation standards for the team: design the test-and-learn frameworks, causal inference approaches, and metrics definitions other data scientists build on. Partner with Product and Engineering leadership to shape the measurement and analytics roadmap across consumer initiatives (e.g., AI-backed search & recommendations, ), reasoning independently about tradeoffs like inventory vs. user preference, cold-start, and test design. Mentor and provide technical guidance to Senior and mid-level data scientists, reviewing analytical approaches and elevating the rigor of the team's work. Identify and prioritize the highest-leverage analytical opportunities across the consumer product portfolio, protecting time and focus for the initiatives with the greatest business impact. Champion and model AI-native ways of working—agentic workflows, LLM-assisted analysis, and self-service tooling—to accelerate the team's output and set the standard for how the org uses AI. Represent the data science function in cross-functional planning, translating complex analytical and statistical findings into clear recommendations for both technical and executive audiences. What You'll Bring: 8+ years of experience in data science, applied statistics, or machine learning and a Bachelor’s degree (or equivalent experience) in computer science, statistics, mathematics, operations research, or a related quantitative field. (6+ years with a Master's, 3+ years with a Ph.D.) A track record of owning ambiguous, high-visibility analytical initiatives end-to-end and driving them to measurable business impact, without close oversight. Deep experimentation fundamentals—A/B testing, power analysis, and causal inference methods (e.g., difference-in-differences, synthetic control, propensity score matching) for settings where standard testing isn't feasible. Strong technical fluency across SQL, Python, and modern analytics/BI tooling (e.g., Tableau, Amplitude, Snowflake). Experience mentoring or informally leading other data scientists or analysts, and setting technical direction without formal management authority. Comfort working in an AI-native way—using LLM APIs, agentic AI workflows, and AI-assisted development tools to accelerate analysis and build self-service data products. Exceptional communication skills, with experience presenting complex technical findings to senior and executive stakeholders and influencing decisions at that level. Preferred Qualifications Experience spanning multiple consumer-analytics domains (e.g., content/media analytics, search/NLP, personalization, or two-sided marketplace dynamics). Prior experience as a technical lead on a squad or pod, setting direction for a small group of data scientists or analysts. Familiarity with LLM observability/evaluation tooling (e.g., Langfuse, Braintrust) or building data products backed by LLMs. Experience building ETL/data pipelines (e.g., dbt, Airflow) to support scalable, self-service analytics. Master's or Ph.D. in a quantitative field. Relocation and visa sponsorship are not available for this role. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work four or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. How We Reward You: Realtor.com® is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location Do the best work of your life at Realtor.com® Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals. Apply Now realtor.com