Realtor.com® is looking to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. The Data Science and Analytics organization aims to use data to make the home buying experience a breeze for consumers by providing up-to-date information, helping them find homes quickly, and matching them with suitable realtors.
Requirements
- Relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy).
- Experience with Amplitude, Mixpanel, or similar product analytics platforms.
- Strong SQL skills, including experience building and joining complex pipelines; ability to handle large, messy, multi-source data.
- Proficient in Excel/Google Sheets for quick reporting and ad hoc analysis.
- Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.).
- Experience in ad tech, media analytics, or digital advertising environments.
- Experience with dashboarding tools (e.g., Tableau, Looker).
Responsibilities
- Partner with business stakeholders to translate experiment questions and business needs into actionable analytics, providing timely and accurate answers on A/B test outcomes, media impact, and product changes.
- Analyze and report on dozens of product and media experiments each quarter, using Python (pandas, numpy, scipy), SQL, and Excel to clean, aggregate, and interpret data from sources such as Google Ad Manager and Amplitude.
- Apply standard statistical testing (e.g. t-tests) to assess significance and produce clear, actionable recommendations (including “no effect” findings) for product, media, and business teams.
- Set up, monitor, and analyze live experiments in Amplitude or similar product analytics platforms, ensuring correct instrumentation, sample assignment, and data quality.
- Lead metric consolidation and calculation projects joining multiple data sources and building SQL pipelines for executive-ready business metrics.
- Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences.
- Respond to ad hoc and recurring requests for experiment analysis, media reporting, and metric deep-dives with precision, speed, and reliability.
Other
- Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience
- Degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
- Proven track record managing and delivering on high-volume experimentation, media analytics, or product analytics projects with multiple stakeholders.
- Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences.
- Self-motivated and self-managing, with strong time management, documentation, and organizational skills.
