About the team

As a Senior Data Scientist within the Growth and Listings Data Science Team, you will be an integral partner to the broader Core Zillow organization. The GLDS team is an impactful ensemble of multiple key business functions, including User growth, Integrated Communications, Listing Completeness/Coverage, and Onsite Testing that acquire and engage millions of users across our platforms.

About the role

As a Senior Data Scientist, you will analyze large, complex datasets to inform key business decisions and shape Zillow’s growth strategy. You will collaborate with Product and Engineering teams to improve listing coverage and user experience, and have direct exposure to senior leadership in a flat organizational structure.

You Will Get To:

• Partner with Product and Engineering teams to develop and execute long-term customer strategies.

• Apply advanced analytics techniques (e.g., clustering, propensity modeling, causal inference) to understand customer behavior.

• Build compelling data stories and visualizations to influence decision-makers.

• Design, analyze, and interpret A/B experiments to drive product improvements.

• Identify, track, and report on business-critical metrics to measure impact.

• Collaborate with Data Scientists to enhance data science infrastructure, including ETLs, dashboards, and experimentation platforms.

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 $148,600.00 - $237,400.00 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 $141,200.00 - $225,600.00 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

We are looking for someone who is passionate about reporting, translating complicated data sets and business problems into easily consumable and impactful insights. You are excited to tackle complexity and new business problems. We're searching for a Data Scientist who has:

• 5+ years of experience as a data scientist working with large, complex datasets (e.g., clickstream data).

• Strong knowledge of statistical concepts, measurement methods, A/B testing, and causal inference.

• Mastery of SQL, Excel, and either Python or R; experience with visualization tools such as Tableau or Databricks.

• Excellent cross-functional collaboration and communication skills (written, verbal, and visual).

• Keen understanding and experience with online products.

• Nice to have: Deep understanding of the US residential real estate market.

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.