Zillow

Compensation

Full Description

Description: • 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 • 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 • 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 • Use state of the art AI tools such as Cursor, ChatGPT, or Gemini to enhance productivity • 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 Requirements: • Exceptional verbal and written communication skills with an emphasis on data-supported storytelling • Able to work across silos and influence business partners • Ability to use strategic thinking to identify emerging problems and prioritize among workstreams • Desire to work on a team influencing others to advance Zillow’s strategy • Experience delivering value amid ambiguity • Proven track record of owning technically complex data projects end-to-end • Expertise in exploratory and deep-dive analysis • Strong understanding of statistical concepts, metric design and measurement, and inference techniques • 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 • Strong proficiency in SQL, Python/R • 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) • Demonstrated ability to create compelling data visualizations • An undergraduate or Master’s degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar) • 5+ years of work experience as a data scientist, working on problems involving quantitative data analysis, experimentation and data problem-solving, preferably in a consumer-facing product • Preferred: Advanced degree (MS/PhD) in Statistics, Computer Science, Economics, or related field • Preferred: Prior work on cross-functional or centralized data teams with diverse stakeholder sets • Preferred: Experience with modern data orchestration tools (Airflow, dbt) and cloud data platforms (Snowflake, Databricks) • Preferred: Prior experience in real-estate analytics • Preferred: Experience with data visualization tools or dashboarding tools Benefits: • comprehensive medical, dental, vision, life, and disability coverages • parental leave • family benefits • retirement contributions • paid time off • flexible work arrangements (Cloud HQ) • equity awards (eligibility) • world-class benefits