Zillow Group’s Strategic Analytics & Data Science team needs to solve strategically important data problems by providing a metrics-driven lens on Zillow’s company strategy and uncovering insights that move it forward. The Senior Data Scientist will translate ambiguous, cross-functional problems into structured analyses or science problems, lead deep-dive projects, and partner with senior leaders to shape Zillow’s strategic planning and long-term roadmap.
Requirements
- Strong proficiency in SQL, Python/R, along with experience with visualization tools / packages and working with big data in a cloud environment (AWS, Databricks, etc.)
- Hands-on experience using AI tools (e.g. Cursor, ChatGPT, Genie, Gemini) to enhance productivity.
- Demonstrated ability to create compelling data visualizations to support storytelling
- Experience across one or more science domains such as predictive analytics and modeling, experimental design and causal inference, machine learning, optimization, data engineering and visualization, or others.
- A strong understanding of statistical concepts, metric design and measurement, and inference techniques.
- Expertise in exploratory and deep-dive analysis: synthesizing large and noisy datasets to uncover trends, patterns, and meaningful business insights.
- Experience with modern data orchestration tools (Airflow, dbt) and cloud data platforms (Snowflake, Databricks)
Responsibilities
- Apply statistical methods, causal inference and measurement, and modeling techniques to identify trends and strengthen storytelling.
- Lead exploratory projects to identify customer trends, behavioral patterns, and opportunity segments across Zillow’s products and marketplaces.
- Resourcefully discover and integrate disparate big data sources to build holistic views of customer and agent behavior.
- Design and execute segmentation studies that inform product, marketing, and partnership strategies.
- Import and codify best practices—establish norms around version control, testing, science methods, and AI use cases.
- Prototype AI/ML-powered proof-of-concepts that automate routine analyses or surface strategic signals.
- Coach and mentor more junior data scientists: conduct code reviews, share frameworks and best practices, and elevate team standards for reproducibility and documentation.
Other
- Craft clear, concise written and verbal narratives that distill complex data into actionable insights for audiences ranging from ICs to the C-suite.
- Act as a trusted advisor: present findings, explore alternatives collaboratively, and guide stakeholders toward data-driven decisions.
- Work with Zillow’s most senior leaders and regularly present in company-wide forums with Zillow’s leadership team.
- Scope, estimate, and execute strategic analyses (e.g., cross-business and cross-functional projects ranging from broad company-wide analyses to deep-dives to support individual business initiatives).
- Produce clear design docs, run kick-offs and checkpoints, and coordinate handoffs to line-of-business data partners.
