[Remote] Data Scientist
Note: The job is a remote job and is open to candidates in USA. Zillow is a real estate technology company that provides products and services for buying, selling, financing, renting, and real estate professionals. The Data Scientist will lead end-to-end analytics and machine learning solutions, partner with cross-functional stakeholders, build scalable data pipelines and models, analyze complex datasets, and apply experimentation to improve business decisions and customer experiences.
Responsibilities
- With guidance from your manger, lead the design, development, and deployment of end-to-end analytical and machine learning solutions that address moderately complex business problems and customer use cases
- Partner with product, engineering, and business stakeholders to frame ambiguous questions into testable hypotheses, define success metrics, and translate requirements into robust analytical or modeling approaches
- Build, validate, and maintain scalable data pipelines, features, and models using modern data and ML tooling, ensuring reliability, reproducibility, and performance in production environments
- Analyze large, complex datasets to uncover trends, drivers, and opportunities, and clearly communicate findings and recommendations to technical and non-technical audiences
- Apply sound experimentation and evaluation practices (e.g., A/B testing, backtesting, error analysis) to measure impact, compare alternatives, and guide iteration on models and data products
- Contribute to shared standards, documentation, and best practices for data quality, model governance, and responsible use of data and AI within the Data Science community at Zillow
Skills
- Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline
- 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 (e.g., distributed data processing, cloud-based data platforms) to develop insights and data products that support business decisions
- Experience collaborating with cross-functional partners to understand requirements, prioritize work, and deliver measurable outcomes using data and analytics
- Or an equivalent combination of education and experience
Benefits
- This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company.
- In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
- Most employees have the flexibility to work from wherever they’re most productive.
Company Overview
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