Senior Data Scientist (Experimentation & Machine Learning)

Realtor.com•Scottsdale, AZ

38d

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. Senior Data Scientist The Data Science and Analytics organization at http://realtor.com sits at the heart of our mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs. Role Description We are seeking a Senior Data Scientist with a strong background in experimentation, media analytics, and cross-functional stakeholder support to join our Client Analytics team. In this role, you will analyze large-scale product and media experiments, consolidate and rebuild business-critical metrics, and deliver clear recommendations that inform high-impact decisions across product, media, and finance. The ideal candidate is a detail-oriented executor who thrives on repeatable analytics, enjoys collaborating with partners in product and media, and brings expertise in Python, SQL, and Amplitude (or similar analytics platforms).

Requirements

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).
Relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy).
Proven track record managing and delivering on high-volume experimentation, media analytics, or product analytics projects with multiple stakeholders.
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.).
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.

Nice To Haves

Master's or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science).
Experience in ad tech, media analytics, or digital advertising environments.
Familiarity with revenue or monetization analytics.
Experience with dashboarding tools (e.g., Tableau, Looker).
Exposure to real estate, marketplace, or consumer product analytics.

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.
Balance high experiment throughput with ad hoc media reporting, regularly prioritizing work across multiple stakeholders.
Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work.

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