Senior Data Scientist

🔥 8 hours ago

🏄 California, Connecticut, +6 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $148.6k - $237.4k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Zillow

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

📋 Description

• 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.

🎯 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.

🏖️ Benefits

• equity awards based on factors such as experience, performance and location • Competitive base salary