About the team

Growth and Shopping data science supports the product teams focusing on customer acquisition, activation, retention, and engagement. We’re a team of 12 people including Data Scientists and Business intelligence analysts. We’re entrusted to deliver insights for the customer funnel through insight analysis, causal modeling, and experimentation. Our team works the most often with product teams and engineering teams to bring actionable business recommendations into the business.

About the role

This role will be an integral partner to the Shopping Product teams, enabling users to discover homes in their home-buying journey. Searching and evaluating homes is Zillow’s core offering for buyers and one of the most used and beloved features on Zillow. Providing the best-in-class experience and presenting the most relevant information to buyers is central to Zillow product leadership’s user engagement and retention goals at the VP level. This role provides high visibility for data science impact and is an opportunity to partner with stakeholders from a highly dynamic and innovative product team.

This role will be responsible for guiding the product roadmap in the shopping product area. For example, identifying areas of opportunity using data, presenting what opportunity we have within the customer funnel to stakeholders, and supporting experimentation once a feature goes into testing. This role would also be responsible for understanding the trend for the core metrics within this area, to drive timely investigations if needed.

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 addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.

Who you are

We are looking for someone passionate about experimentation, translating complicated data sets and business problems into easily consumable and impactful insights. You will also need to be unafraid of tackling complexity and new business problems. We're searching for a Data Scientist who has:

• Strong SQL and Python/r experience

• Experience generating analytical insights and drive business impact

• Strong experimentation skills and statistical knowledge

• Some exposure to Data Viz like Tableau or something similar

• Experience in online and offline experimentation is a huge plus

• Propensity modeling or causal inference

• Modeling techniques

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.