Manager, Data Science
Zillow
Unknown, Unknown
Full-Time
$160,500
RemoteManager
Zillow Group is seeking a Manager of Data Science to lead measurement, experimentation, and insight generation for the Rental Shopping pillar. With Rentals revenue up 45% year-over-year and tens of millions of monthly unique visitors, this is a rare opportunity to lead a data science team at the intersection of consumer product development and rapid business growth. You will set the technical direction for how we measure, test, and optimize every stage of the renter’s journey—turning statistical rigor into product innovation and business impact at scale.
This is a people leadership role first, with meaningful technical depth. You will be responsible for:
Setting the technical direction and measurement strategy for the shopping funnel
Developing and mentoring data scientists across experimentation, causal inference, and product analytics
Defining scalable frameworks for A/B testing, funnel optimization, and consumer behavior modeling
Influencing senior product and business stakeholders with >
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 $160,500.00 - $256,500.00 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 $152,500.00 - $243,700.00 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.You are a technically strong and product-minded data science leader with deep expertise in consumer product analytics, experimentation, and funnel optimization. You combine statistical rigor with organizational leadership and understand how measurement systems influence product strategy, consumer experience, and business growth. You operate comfortably across experimentation, causal inference, and scalable modeling, and you have proven experience setting direction, developing others, and translating analytics into product and business outcomes. You think in systems, not just projects.
Required Qualifications
6+ years of experience in data science, applied science, product analytics, or consumer analytics. 2+ years of experience mentoring or directly leading data scientists
Direct experience working in a consumer-facing product environment, with ownership of experimentation, funnel measurement, or product analytics at scale
Strong understanding of A/B testing, causal inference, funnel optimization, and consumer behavior modeling
Experience working with large-scale behavioral, clickstream, or marketplace datasets
Deep proficiency in SQL and Python
Experience partnering cross-functionally with Product, Engineering, and Design stakeholders
Strong executive communication skills with the ability to influence senior leadership decisions
Experience integrating experimentation, observational causal methods, and predictive modeling into coherent measurement frameworks
Demonstrated ability to adopt AI-enabled tools thoughtfully while maintaining rigor and governance
Preferred Qualifications
Experience in rental, real estate, or marketplace platforms
Experience scaling experimentation programs across multiple product surfaces
Exposure to recommendation systems, search ranking, or personalization analytics
Familiarity with Databricks, Snowflake, Airflow, dbt, or similar infrastructure tools
Understanding of privacy shifts and their impact on consumer analytics and measurement
What Sets You Apart
You raise the bar on analytical quality across your team
You proactively shape strategy rather than reacting to requests
You connect technical decisions directly to product outcomes and business growth
You know when to go deep technically and when to focus on alignment and prioritization
You build trust with executives by balancing rigor, clarity, and business intuition
You grow high-performing teams, not just high-performing models
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® 2025list, 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.