Senior Data Scientist

Zillow
United States
Workplace: RemoteFull timeUSD 141,200 - 237,400 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Collaboration","Mentoring","Curiosity","Communication","Continuous improvement"]

Lead end-to-end data science projects at Zillow, from problem framing and hypothesis design through model development, validation, deployment, and monitoring. Build advanced statistical and machine learning models using large datasets, design experimentation and causal inference approaches, and create scalable data pipelines and feature engineering. Translate technical results into actionable insights for product and engineering stakeholders, advocate for responsible AI and data quality, and mentor teammates to strengthen a culture of learning and iteration.

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FursaFursa
Zillow
Zillow
6 days ago

Senior Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Lead end-to-end data science projects at Zillow, from problem framing and hypothesis design through model development, validation, deployment, and monitoring. Build advanced statistical and machine learning models using large datasets, design experimentation and causal inference approaches, and create scalable data pipelines and feature engineering. Translate technical results into actionable insights for product and engineering stakeholders, advocate for responsible AI and data quality, and mentor teammates to strengthen a culture of learning and iteration.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead end-to-end data science projects, from problem framing and hypothesis design through model development, validation, and deployment aligned to business goals.
  • •Develop and evaluate advanced statistical and machine learning models (e.g., prediction, recommendation, optimization) to improve accuracy, fairness, and robustness.
  • •Design and implement data pipelines, feature engineering, and experimentation frameworks with data engineering and product teams for scalable delivery.
  • •Translate quantitative findings into clear recommendations for technical and non-technical stakeholders to inform roadmaps and decisions.
  • •Establish and advocate for best practices in data quality, model monitoring, documentation, and responsible AI usage; mentor less experienced team members.

Pay and Benefits

Salary: USD 141,200 - 237,400 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field.
  • •8+ years of professional experience applying statistical analysis, machine learning, or advanced analytics to real-world business problems.
  • •Demonstrated experience using large, complex datasets with Python or R and querying with SQL.
  • •Experience designing and evaluating experiments or causal inference approaches and using metrics to assess model and product impact.
  • •Cross-functional experience delivering and operationalizing data science solutions at scale.
Experience:8+ years
Education:Bachelor's in Statistics, Mathematics, Computer Science, Engineering, Economics (or related quantitative field)
Skills:CollaborationMentoringCuriosityCommunicationContinuous improvement
Tech Stack:PythonRSQL

Company Brief

Zillow
Operates an online real estate marketplace providing listings, valuation estimates, rentals, and agent tools. Connects buyers, sellers, renters, and real estate professionals with data-driven search, home Zestimate valuations, and advertising services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seattle, United States
Founded: 2006
WebsiteLinkedIn