Principal Data Scientist - Rentals Shopping

About the teamZillow Group’s mission is to give people the power to unlock life's next chapter. We are seeking a Principal Data Scientist to serve as the data science lead for the Rentals Shopping pillar, the team that improves how millions of renters discover and secure their next home through Zillow’s marketplace.
This team sits at the heart of the rental consumer journey and focuses on advancing our product and consumer experiences through rigorous analysis, experimentation, and proactive discovery of business opportunities across the rental shopping funnel (from search to contact and conversion). As the Shopping pillar lead, you will be a key strategic partner to product leadership, helping shape the roadmap and ensuring decisions are grounded in high‑quality data science in a highly competitive market.

About the role

As a Principal Data Scientist, you will discover and lead large‑scale, data‑driven opportunities that help define the future of the Rentals Shopping pillar. You will be the primary data science partner for product leadership, co‑developing the data strategy and ensuring that data science is a core driver of the cross‑functional roadmap. Your work will directly influence how renters search, evaluate, and connect with rental homes, and how we grow Zillow’s Rentals business.

You Will Get To

• Drive the long‑term data strategy for the Rentals Shopping pillar, using deep analysis of consumer behavior and market dynamics to identify high‑impact growth opportunities and inform the product roadmap.

• Elevate statistical rigor, modeling, and experimentation practices across Rentals to enable high‑confidence decision‑making.

• Partner with product, engineering, and design leaders to translate complex analysis into clear, actionable product and business strategies.

• Lead analytical and modeling work across critical problem spaces such as rental search relevance, ranking, personalization, or marketplace efficiency.

• Design and guide robust A/B tests and other experimentation frameworks to measure the impact of new features and optimizations in the rental shopping experience.

• Apply modern AI (including LLMs and agentic workflows) to increase data science velocity, improve model quality, and scale intelligent user-facing solutions across the Rentals marketplace.

• Coach and mentor data scientists, providing technical leadership and helping to unblock complex analytical and modeling challenges.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $178,300.00 - $284,700.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $169,300.00 - $270,500.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.

In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

Who you are

You are comfortable leading through ambiguity in a growing marketplace and enjoy making data‑informed decisions in fast‑changing environments. You bring deep technical expertise and strong product intuition, and you know how to influence cross‑functional partners using clear, actionable insights.

• Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science), or equivalent practical experience.

• Substantial experience (typically 8+ years) in quantitative analysis, advanced modeling, and experimentation at scale in consumer‑facing technology environments.

• Technical skills: Expert in SQL and Python, with experience applying statistical modeling (e.g., causal inference, time series) in big data environments such as Databricks or Snowflake.

• Product and business impact: Proven track record of shaping long‑term product roadmaps and driving meaningful business outcomes through data‑driven insights.

• Leadership and communication: Ability to influence senior cross‑functional leaders and turn complex analysis into clear, executive‑ready recommendations and action plans.

• High initiative and ownership: Comfortable leading in a complex business area with significant autonomy, setting direction and driving execution across partners.

• Here at Zillow, we value the experience and perspective of candidates with non‑traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.