Lead end‑to‑end data science projects from problem framing and hypothesis design through model development, validation, and deployment, ensuring solutions are aligned with strategic business goals and customer needs
Develop advanced statistical and machine learning models (for example, prediction, recommendation, or optimization) using large, complex datasets, and rigorously evaluate performance to improve accuracy, fairness, and robustness
Design and implement efficient data pipelines, feature engineering approaches, and experimentation frameworks in partnership with data engineering and product teams to enable scalable, repeatable analyses and model delivery
Translate complex quantitative findings into clear, compelling insights and recommendations for technical and non‑technical stakeholders, informing product roadmaps, operational decisions, and measurable business outcomes
Collaborate closely with product, engineering, analytics, and business partners to identify high‑impact opportunities, define success metrics, and prioritize data science work based on customer value and feasibility
Establish and advocate for best practices in data quality, model monitoring, documentation, and responsible AI usage, helping to continuously improve the reliability and trustworthiness of data‑driven solutions
Mentor less experienced team members by sharing domain knowledge, reviewing work, and contributing to a culture of learning, experimentation, and continuous improvement in data science methods and tools.

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

Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field
8+ years of professional experience applying statistical analysis, machine learning, or advanced analytics to real‑world business problems in a data‑driven environment
Demonstrated experience working with large, complex datasets using programming languages such as Python or R and querying languages such as SQL
Experience designing and evaluating experiments or other causal inference approaches, and using metrics to assess model and product impact
Experience collaborating in cross‑functional settings (for example, with product, engineering, or operations teams) to deliver and operationalize data science solutions at scale.

Or an equivalent combination of education and experience.

Get to know usAt 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. 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