Senior Data Scientist, Strategic Pricing

Realtor.com is building a next-generation Strategic Pricing function to drive revenue optimization through advanced experimentation, data science modeling, and pricing intelligence. We're seeking a Senior Data Scientist with a strong background in experimentation, strategic pricing, and cross-functional stakeholder support to help shape the future of our pricing program.

As a trusted partner to Product, Sales, Finance, and leadership teams, you will be the vital link between complex data and pivotal pricing decisions. You'll analyze large and complex datasets, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical monetization decisions.

The ideal candidate is a detail-oriented data science expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment and driven by a desire to make pricing better.

Realtor.com is redefining its client value proposition through smarter, data-informed product pricing and packaging strategies. The Data Scientist, Strategic Pricing Analysts will play a pivotal role in this transformation, bridging Product, Sales, Marketing, and Finance to develop scalable, customer-centric monetization models that drive long-term success.

• Partner with Product, Sales, Finance, and Marketing to translate business needs into pricing and monetization solutions
• Own pricing experimentation: design A/B tests, analyze results, and establish statistical best practices
• Build data science models for pricing insights: willingness-to-pay estimation, price elasticity analysis, churn prediction, and promotional optimization
• Develop pricing and packaging business models to support strategic decision-making across our portfolio
• Conduct end-to-end data science work: collection, ETL, modeling, insights delivery
• Build self-service dashboards and analytical layers to accelerate stakeholder decision-making
• Support strategic planning with financial modeling, forecasts, and competitive intelligence
• Document methodologies clearly and foster transparency through reproducible code

We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our office headquarters, where they have the opportunity to collaborate in person, adding richness to our culture and knitting us closer together.

• Bachelor's in quantitative field (Statistics, Data Science, Math, Economics, Engineering, CS); 6+ years experience
• SQL & Python proficiency (pandas, numpy, scipy)— 4+ years required
• 2+ years of pricing strategy, monetization analytics, or experimentation (digital marketplaces/SaaS preferred)
• Strong EDA, statistical methods (t-tests, power analysis, causal inference), and data science modeling capabilities
• Cloud data environments (Snowflake, AWS) and proven ability to drive revenue KPIs
• Excellent communication: translate technical findings for business and executive audiences
• Self-motivated, strong time management, and collaborative across functions

• Master’s or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science)
• BI tools experience (Tableau, Amplitude, Looker, Mixpanel, Power BI)
• Agentic AI/LLM pricing tools, promo personalization systems, or dynamic pricing models
• Marketplace/property tech revenue analytics or CRM/Salesforce expertise