Principal Data Scientist – Rentals Shopping

🕒 Fevereiro 12

🏄 California, Connecticut, +5 estados a mais – Remoto

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

💵 $178.300 - $284.700 / ano

⏰ Tempo Integral

🔴 Especialista

📊 Cientista de Dados

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Zillow

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2006

🏠 Imobiliário

🛍️ Comércio Eletrônico

👥 B2C

💰 $4.099.999 Post-IPO Equity em 2012-12

Real Estate • eCommerce • B2C

A Zillow é um marketplace líder de compra, venda e aluguel de imóveis, oferecendo informações completas sobre casas, apartamentos e propriedades à venda ou para alugar. Ela disponibiliza ferramentas para buscar imóveis, calcular taxas de financiamento imobiliário e conectar-se a corretores de imóveis. A plataforma também conta com algoritmos inovadores que geram Zestimates, estimativas de valor de mercado de imóveis. A Zillow é uma referência para quem deseja comprar, vender ou alugar, assim como para corretores de imóveis e imobiliárias que querem alcançar um público mais amplo.

Descrição

• Drive the long‑term data strategy for the Rentals Shopping pillar • Elevate statistical rigor, modeling, and experimentation practices across Rentals • Partner with product, engineering, and design leaders to translate complex analysis into clear, actionable product and business strategies • Lead analytical and modeling work across critical problem spaces such as rental search relevance, ranking, personalization, or marketplace efficiency • Design and guide robust A/B tests and other experimentation frameworks • Apply modern AI to increase data science velocity and improve model quality • Coach and mentor data scientists

🎯 Requisitos

• Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science), or equivalent practical experience • Substantial experience (typically 8+ years) in quantitative analysis, advanced modeling, and experimentation at scale in consumer‑facing technology environments • Expert in SQL and Python • Experience applying statistical modeling (e.g., causal inference, time series) in big data environments such as Databricks or Snowflake. • Proven track record of shaping long‑term product roadmaps and driving meaningful business outcomes through data‑driven insights • Ability to influence senior cross‑functional leaders and turn complex analysis into clear, executive‑ready recommendations and action plans • High initiative and ownership: Comfortable leading in a complex business area with significant autonomy, setting direction and driving execution across partners.

🏖️ Benefícios

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