About
About The Role As a Senior Data Scientist, you will help evolve Zillow’s marketing measurement ecosystem—integrating experimentation, causal inference, marketing mix modeling (MMM), and predictive optimization into a cohesive, production-grade decision system.
We build scalable models and experimentation frameworks that directly inform:
Budget allocation
Channel and creative strategy
Incrementality measurement
Forecasting and growth planning
Efficiency and ROI optimization
Our work drives measurable impact across B2C and B2B businesses, including Rentals, Premier Agent, Zillow Home Loans, and more.
What it’s like working here 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 You are a senior-level individual contributor who combines:
Strong causal inference and statistical rigor
Production-oriented data science practices
Business intuition around marketing investment efficiency
Clear communication and executive storytelling
You think in systems, not just models. You understand that marketing science requires harmonizing experimentation, observational methods, forecasting, and optimization — and you can operate comfortably across all.
Basic Qualifications
MS with 5 + years of industry experience in data science, applied science, or marketing analytics; OR 5+ years of experience in marketing analytics, measurement, or growth data science.
Strong expertise in causal inference and statistical modeling.
Advanced proficiency in SQL and Python or R.
Experience building analyses or models that are repeatedly used for business decisions.
Experience working with large-scale, noisy datasets (e.g., clickstream, media data, multi-terabyte sources).
Strong cross‑functional communication skills.
Nice to have qualifications
Hands‑on experience with Marketing Mix Modeling (MMM).
Deep experience designing and analyzing A/B tests and geo‑experiments.
Expertise in incrementality and uplift modeling.
Experience building scalable experimentation or modeling platforms.
Strong understanding of attribution methodologies and trade‑offs.
Practical MLOps experience: Model versioning
Monitoring and observability
Reproducibility standards
Shared codebase collaboration
Experience with tools such as Databricks, Snowflake, Airflow, dbt, Tableau, Looker, or similar.
Understanding of privacy shifts (cookie deprecation, signal loss) and their impact on marketing measurement.
Experience supporting both B2C and B2B marketing strategies.
Experience mentoring or coaching other data scientists.
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 judgement, 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.
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Languages
- English
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