Senior Data Scientist

About the role

Zillow Group's Business Data organization represents the next step forward in the company's dedication to integrate an improved set of B2B agent software & advertising products for customers and partners, their clients, and the real estate industry as a whole. Zillow has built and acquired a portfolio of market-leading products for agent productivity, listing media, showing coordination, transaction management and analytics solutions. Our wide array of products and services are built on technological innovations crafted to bring efficiencies to all users. The Partner Analytics team within Business Data is hiring a Senior Data Scientist to lead analytics to uncover insights to drive both better business decisions and customer experiences across our product portfolio.

Responsibilities

• Independently scope and deliver end-to-end data science projects , from problem framing through model development, validation, and productionization
• Build and maintain industry performance and customer segmentation models , applying appropriate techniques (e.g., clustering, regression, tree-based models) and ensuring they are robust, interpretable, and actionable
• Partner with Data Engineering and ML Engineering to deploy and maintain models in production , including feature development, batch/real-time scoring, and monitoring model performance over time
• Design and analyze experiments and observational studies (A/B testing, causal inference) to evaluate product features and business initiatives
• Translate ambiguous business problems into well-defined analytical approaches , selecting appropriate methodologies and success metrics
• Provide data-driven recommendations to senior leaders , clearly communicating trade-offs, assumptions, and impact
• Collaborate with cross-functional teams including Follow Up Boss, Preferred, and zPro to align on goals, define KPIs, and deliver integrated insights
• Contribute to scalable data assets (clean datasets, metrics definitions, dashboards) that enable self-service analytics
• Mentor junior team members and contribute to team best practices, code quality, and documentation.
• Scope & impact
• Owns moderately complex problem areas with clear business impact , delivering solutions with limited oversight
• Influences decision-making within their immediate domain and contributes to adjacent areas through collaboration
• Balances speed and rigor, making sound trade-offs in modeling, experimentation, and analysis
• Begins shaping team standards and improving how data science work is executed within the org
• In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $148,600.00 - $237,400.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.
• In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $141,200.00 - $225,600.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.

Requirements

• 4-7+ years of experience in data science, applied machine learning, or a related field
• Strong foundation in statistics, machine learning, and experimentation , with demonstrated ability to apply methods to real-world business problems
• Proficient in Python (pandas, scikit-learn, PySpark) and SQL ; comfortable working with large datasets in modern data platforms (e.g., Snowflake, Spark)
• Experience building segmentation and performance models and translating outputs into business insights
• Familiarity with production workflows (e.g., Airflow, dbt, model deployment patterns, monitoring)
• Ability to work independently in ambiguous spaces while maintaining alignment with stakeholders
• Strong communication skills, with the ability to tailor insights to technical and non-technical audiences
• Experience collaborating across multiple product and business teams
• 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, ope

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