Principal Data Scientist – Rentals Marketplace Ads Team

October 31

🏄 California – Remote

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🦌 Connecticut – Remote

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+6 more states

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💵 $178.3k - $284.7k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

Apply Now
Logo of Zillow

Zillow

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.

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

📋 Description

• Analyze and interpret large, complex datasets to identify trends, patterns, and insights that support Zillow’s burgeoning rentals ecosystem. • Collaborate with product stakeholders to define key metrics, goals, and objectives, and develop data-driven strategies to achieve them. • Utilize causal inference techniques and novel experimental designs to evaluate the launches of pilot programs. • Mentor and coach junior team members on executing analytic requests and help unblocking through code reviews & best practice sharing. • Work closely with cross-functional teams, such as product, marketing, engineering, and corporate strategy, to ensure relevant insights are surfaced for decision making. • Collaborate with data engineering teams to design and optimize data pipelines and workflows to support efficient data collection, storage, and processing. • Effectively communicate complex analytical findings to diverse stakeholders, translating technical concepts into actionable insights and recommendations. • Dive into Zillow's internal and third party data (think Databricks, Snowflake, Big Data) to develop solutions that will help move the business forward and enable better decisions at a rapid speed.

🎯 Requirements

• A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar) • 8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving • A strong understanding of statistical concepts, measurement methods, A/B testing, causal inference techniques, and time series analysis • Mastery of SQL, Excel, Python, along with some experience with Tableau, Databricks, or other visualization software. • Superb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plans • Able to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions • Keen understanding and experience with online products.

🏖️ Benefits

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

Apply Now

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