Data Analytics Engineer Jobs at Zillow with Visa Sponsorship

About the team

Zillow Group’s mission is to give people the power to unlock life’s next chapter. The Rentals Data Science – Shopping team sits at the center of the renter journey, partnering with product and engineering to power how millions of renters discover, evaluate, and secure their next home across our marketplaces.

About the role

As a Data Scientist on the Rentals Data Science – Shopping team, you will partner closely with product, engineering, design, and machine learning (ML) to solve high-impact problems in the rental shopping experience. You will use data to shape product strategy, design and analyze experiments, and uncover opportunities to help renters find and choose their next home with greater confidence and ease.

You Will Get To

• Partner with Product, Engineering, Design, and Machine Learning (ML) to define and refine metrics that drive improvements across the rental shopping funnel, from search and discovery through contact and conversion.

• Design, run, and analyze A/B tests and other experiments using statistical and causal inference methods to understand renter behavior and measure product impact.

• Work with large-scale behavioral and clickstream datasets to generate insights that inform product strategy and roadmap decisions.

• Translate complex analyses into clear, compelling recommendations that influence product direction and prioritization for cross-functional partners.

• Own analytical projects end-to-end, from problem framing and scoping through methodology selection, execution, and communicating results and tradeoffs.

• Leverage modern AI, internal platforms, and data tooling to automate and streamline workflows, improving efficiency and scaling your impact across the team.

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 $125,900.00 - $201,100.00 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 $119,600.00 - $191,000.00 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 have a Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Engineering, Data Science) or equivalent practical experience.

• You bring 3+ years of experience in data science, ideally in a product-focused environment where you’ve influenced roadmap or feature decisions.

• You have a strong foundation in statistics, experimentation, and causal inference, including hands-on experience designing and analyzing A/B tests.

• You have experience working with event or clickstream data (e.g., Google Analytics or similar tools) and large-scale datasets to understand user behavior.

• You are proficient in Python and SQL and comfortable building robust analyses in production-scale data environments.

• You can independently scope and structure ambiguous problems, delivering clear, impactful insights that help stakeholders make better decisions.

• You communicate complex technical concepts in an accessible way and build strong, collaborative relationships with cross-functional 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, even if you don’t meet every single qualification listed above.

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.