Data Scientist, Consumer Analytics

🕒 August 4

🇺🇸 United States – Remote

💵 $119.6k - $201.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Lead the design, development, and deployment of end-to-end analytical and machine learning solutions for moderately complex business problems and customer use cases • Partner with product, engineering, and business stakeholders to frame ambiguous questions into testable hypotheses and define success metrics • Translate requirements into robust analytical or modeling approaches • Build, validate, and maintain scalable data pipelines, features, and models using modern data and ML tooling • Ensure reliability, reproducibility, and performance in production environments • Analyze large, complex datasets to uncover trends, drivers, and opportunities • Communicate findings and recommendations to technical and non-technical audiences • Apply experimentation and evaluation practices such as A/B testing, backtesting, and error analysis • Contribute to standards, documentation, and best practices for data quality, model governance, and responsible use of data and AI

🎯 Requirements

• Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline, or an equivalent combination of education and experience • 5+ years of experience applying data science, advanced analytics, or machine learning in a professional setting • Experience designing and implementing end-to-end analytical or ML solutions, including data preparation, feature engineering, model development, validation, and operationalization • Experience working with large datasets and modern data ecosystems, including distributed data processing and cloud-based data platforms • Experience collaborating with cross-functional partners to understand requirements, prioritize work, and deliver measurable outcomes using data and analytics

🏖️ Benefits

• Equity awards • Remote work from a physical location of the employee’s choice • Equal employment opportunity and disability accommodation support