About the team
As a Data Scientist within the Zillow Home Loans (ZHL) Data Science & Analytics team, you'll work across the entire home buying customer journey — from a home shopper's first touchpoint on Zillow.com through to a funded loan. The team works closely with ZHL's mortgage and product leadership to uncover opportunities, measure impact, and build a best-in-class integrated financing experience for Zillow customers. You'll contribute to that mission across the entire funnel, from web-scale A/B tests to deep-funnel mortgage operations analyses.
About the role
At Zillow, Data Scientists develop insights and models that shape products and services, balancing rigor and speed to drive methodologically sound outputs that directly impact key decision points. You own scoped projects end-to-end: you translate business questions into analysis plans, execute independently, and communicate results clearly to stakeholders. This is an opportunity to grow your craft while working on problems that directly affect how millions of people find, buy, and finance their next home.
You Will Get To
- Design, implement, and read out causal analyses across the Zillow.com-to-ZHL funnel — from web-scale experiments to deep-funnel small-population tests — using a variety of inference methods to achieve appropriate statistical rigor.
- Apply statistical modeling and advanced analytics to predict customer behavior, explain the impact of product and operational changes, and surface opportunities in the digital mortgage experience.
- Partner with product and engineering teams to define measurement frameworks, pull relevant data, and translate findings into clear recommendations for technical and non-technical audiences.
- Prototype analytical pipelines for high-impact analyses and see them through to hardened, production-grade data sources used across the company — partnering with shared infrastructure teams and contributing to team standards along the way.
- Collaborate with fellow Data Scientists and the Data Analyst on the team to improve tooling, documentation, and analytical quality.
This role has been categorized as a teleworker position. Teleworkers 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. Employees may live anywhere in Mexico, with availability to travel to Mexico City, as we recommend attendance at occasional office events.
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
You are a consistent and effective individual contributor who can own scoped projects end-to-end, build stakeholder trust by connecting technical work to business impact, and operate with increasing independence across your toolkit and domain. You bias toward simple, proven methods and complete understanding over novelty. You communicate clearly, ask good clarifying questions, and bring a genuine curiosity about the business problems behind the data.
Basic Qualifications
- Strong proficiency in SQL and Python.
- Demonstrated experience with statistical modeling and inference; ability to choose simple, proven methods when appropriate.
- Experience delivering analyses or models that are used repeatedly by the business over months.
- Ability to communicate clearly and work cross-functionally with technical and non-technical partners.
Preferred Qualifications
- BS +5 or more years, MS +3 or more years, or PhD +1 or more years of industry experience in data science, statistics, applied science, or a related quantitative field.
- Experience with A/B testing and experimentation design, including power analysis and understanding of multiple testing considerations.
- Experience with causal inference methods in business settings (e.g., diff-in-diff, synthetic controls, propensity score matching, uplift modeling, or similar quasi-experimental designs).
- Exposure to customer-facing web or app analytics (e.g., clickstream, funnel analysis, engagement metrics).
- Familiarity with statistical or ML modeling packages and how to apply them to business problems (e.g., regression, classification, clustering, forecasting).
- Experience with data engineering pipelines and scheduling tools (Airflow, dbt, Spark, or similar).
- Exposure to mortgage, fintech, or ecommerce domains is a plus but not required.
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 people 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.
How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise.
Zillow is honored to be recognized among the best workplaces in the U.S.. Zillow was named one ofFORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 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 committed to fostering an inclusive, innovative environment and to providing equal employment opportunities. We comply with applicable laws that prohibit discrimination in employment and recruitment.
If you have a disability or special need that requires reasonable accommodation during the recruitment process, please contact your recruiter directly.
Qualified applicants will be considered for employment based on their qualifications and ability to perform the functions of the position, without discrimination and in accordance with applicable 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.