Staff Data Scientist

Realtor.com Careers•Austin, TX

1d•Hybrid

About The Position

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. Who We Are Realtor.com® is your one stop shop for homebuyers, sellers, and dreamers, with comprehensive for-sale listings, insightful information, valuable tools and professional expertise. We make buying, selling, and living in homes easier and more rewarding for everyone. We’re excited and hungry to make a difference to the millions of people in the US who buy a home each year. Our aspiration starts with treating our home buyer as our focal point - we believe that delivering on experiences that truly help people through this seemingly difficult life event will lead us to continued and greater success as a company. About The Role Are you a marketing or data expert? Proficient at munging data from Google, Bing, and enterprise analytics platforms? Have a solid understanding of statistical concepts, testing and experimentation? Let’s chat. At Realtor.com®, our data science & analytics teams sit at the forefront of helping leaders make decisions about how to help over 100M+ users navigate the complex world of real estate. In this position, you will democratize insights and analytics across the org, working with a variety of tools and tech that integrates with thousands of different data sources to make media more efficient. 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 Staff Data Scientist, Marketing Analytics and help change the world of real estate, one home at a time. We're building an AI-native data science team that actively leverages tools like Claude Desktop and Claude Code to move faster, write sharper code, and surface deeper insights. If you're genuinely excited about working at the frontier of AI-augmented analytics — not just aware of it, but living it daily — this role is for you.

Requirements

8+ years of related experience in analytics or data science.
Experience with setting up campaigns on Google Search Ads or similar platforms
Experience with analyzing search query reports for keyword insights, creative testing and landing page optimization
Robust analytics skills and ability to work with and analyze large volumes of complex data.
Be a subject matter expert on measurement and statistical analyses for your stakeholders.
Strong analytical thinking and ability to make data-driven decisions using statistical methods.
Strong hand-coding of SQL and very proficient in writing queries either intermediate Python or R or an OOBJ programming language.
Ability to create ETL pipelines using Dbt + Airflow.
Well versed in Tableau or similar BI tools.
Highly collaborative and a team player.
Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline.

Nice To Haves

Experience with Experimentation platforms is a plus. We use Amplitude but other tools such as Optimizely, VWO, Adobe Target, LaunchDarkly, http://Split.io , Google Ads Experiments, Mixpanel, Heap, Pendo are also acceptable.

Responsibilities

Create full funnel reporting for the Seller business to understand consumer behavior, engagement and retention across all platforms
Work collaboratively with marketing, product, and engineering to establish measurement best practices for SEM / performance media.
Prescribe different levers available on paid search to optimize media performance.
Track performance of said levers and surface what’s working and what’s not working to leadership.
Deliver SEM insights across the customer journey to inform acquisition (i.e., awareness, consideration & demand) while developing decision making frameworks around KPIs (e.g., CPA, CPI, ROAS, ROI, LTV etc.)
Automate reporting deliverables for cross functional teams. Stakeholders for this role would be both internal and external. External stakeholders would include Google, Bing, and other 3rd party advertising vendors.
Analyze test data integrations and develop hypotheses around media experiments (A/B testing, Beyesion methods, Multi-Armed Bandits (MABS), etc. are all very positive)
Ownership of campaign management, budgeting, and optimization efforts across geo / demo.