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Strong fit if you lead applied ML for consumer marketplaces and care about rentals discovery on a large real-estate platform (ZG). Thin DATA on team culture and pay—validate scope and remote setup in interview.
As Principal Data Scientist on Rentals Shopping, expect ownership of ranking, search, and recommendation models that surface rental inventory on Zillow’s marketplace. Typical work: define metrics with product, ship experiments, partner with eng on features, and mentor others on ML for rental discovery—grounded in Zillow’s rentals surface, not inventing team rituals.
Strengthen ranking/recommendation ML, experimentation, and marketplace metrics; rentals domain (listings quality, search UX) helps. No cert family or costs in CERTS.
Yes—listing is Remote-USA (remote flag set).
Tech real-estate marketplace (homes and rentals), founded 2006; public ticker ZG.
No cert resources or costs were provided for this family.
Website: zillow.com
Zillow, officially known as Zillow Group, Inc., is an American tech real-estate marketplace company that was founded in 2006 by co-executive chairmen Rich Barton and Lloyd Frink, former Microsoft executives and founders of Microsoft spin-off Expedia; Spencer Rascoff, a co-founder of Hotwire.com; David Beitel, Zillow's current chief technology officer; and Kristin Acker, Zillow's current technology leadership advisor.
Public cache only — not an employee review.
Zillow invites applications for the Principal Data Scientist - Rentals Shopping position as a full-time remote opportunity open across the USA. In this senior capacity you will guide sophisticated data efforts that strengthen rentals shopping outcomes for users and partners alike. What This Role Involves As Principal Data Scientist - Rentals Shopping you will set technical direction for advanced analytics and modeling initiatives that shape discovery and selection experiences. The work centers on identifying high-value questions, designing rigorous solutions, and translating findings into platform-level improvements while elevating data science standards across collaborating teams. You will balance strategic vision with hands-on execution, ensuring that insights remain actionable and aligned with evolving needs in the rentals shopping arena. Key Responsibilities Define and own the long-term technical roadmap for machine learning and statistical projects supporting rentals shopping Design, prototype, and productionize predictive models that improve relevance and personalization throughout shopping flows Mentor data scientists by reviewing methods, sharing expertise, and building a culture of rigorous experimentation Partner closely with product, engineering, and business leads to surface opportunities and prioritize high-impact work Lead deep-dive analyses of large behavioral datasets to reveal patterns that inform product and marketplace decisions Establish evaluation frameworks, success metrics, and monitoring practices that track model quality and business results Communicate complex findings and recommendations clearly to both technical peers and senior stakeholders Skills & Qualifications Substantial progressive experience in data science culminating at principal or equivalent senior level Mastery of machine learning techniques, statistical inference, experimental design, and causal analysis Proficiency in Python, SQL, and modern machine-learning libraries used for large-scale modeling Demonstrated success applying data science to consumer-facing shopping or recommendation problems Strong leadership presence that includes coaching others and influencing without direct authority Exceptional written and verbal skills for conveying technical concepts to varied audiences Advanced quantitative degree or equivalent practical expertise gained through impactful work About the Company Zillow is hiring for this role and offers a supportive team environment. Ready to Apply? To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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