Senior Data Scientist – Business Data Team

Yesterday

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🦌 Connecticut – Remote

Although this job is listed in Connecticut, this company may be open to hiring remote in other states.

+6 more states

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

💵 $148.6k - $237.4k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Zillow

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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

• Collaborate with team members across product, engineering, marketing, sales, operations, and more to develop evidence-based approaches to finding gaps & optimizing the customer experience • Use advanced analytics, including clustering, propensity modeling, statistical knowledge, and other explanatory and causal inference techniques to gain a clearer picture of customer behavior • Build compelling data stories and visualizations to inform and influence decision-makers • Serve as a mentor and resource to other data scientists on the team • Design and implement A/B tests, perform regression modeling, and provide recommendations for the product roadmap

🎯 Requirements

• Undergraduate or Master’s degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar) • 5+ years of work experience involving quantitative data analysis and complex problem-solving • Experience working with product teams strongly preferred • Strong understanding of statistical concepts, measurement issues, and inference techniques • Proficiency in SQL, Excel, and either Python or R, along with some experience with Tableau, Mode, or other visualization software • Extensive experience querying multi-terabyte-sized noisy data sets such as clickstream data • Experience with ETL pipelines, scheduling and productionalizing is a plus • Experience with A/B Testing, Experimentation, or Casual Inference • Strong written, verbal, and visual communication skills with the ability to work cross-functionally

🏖️ Benefits

• Competitive base salary • Equity awards based on experience, performance, and location