Manager, Data Science

🕒 Maio 28

🏄 California, Connecticut, +6 estados a mais – Remoto

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

💵 $160.500 - $256.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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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

• Setting the technical direction and measurement strategy for the shopping funnel • Developing and mentoring data scientists across experimentation, causal inference, and product analytics • Defining scalable frameworks for A/B testing, funnel optimization, and consumer behavior modeling • Influencing senior product and business stakeholders with data-driven recommendations • Ensuring analytical rigor translates into tangible product improvements and business growth • Driving deep-dive analyses of renter behavior, market dynamics, and funnel performance to identify high-impact growth opportunities • Managing and developing a team of data scientists working across shopping funnel measurement and consumer analytics • Raising the bar on production-grade analytics and experimentation • Operating as a strategic thought partner to senior stakeholders across Product, Engineering, and Business Strategy • Leading thoughtful adoption of AI within your team.

🎯 Requisitos

• 6+ years of experience in data science, applied science, product analytics, or consumer analytics • 2+ years of experience mentoring or directly leading data scientists • Direct experience working in a consumer-facing product environment, with ownership of experimentation, funnel measurement, or product analytics at scale • Strong understanding of A/B testing, causal inference, funnel optimization, and consumer behavior modeling • Experience working with large-scale behavioral, clickstream, or marketplace datasets • Deep proficiency in SQL and Python • Experience partnering cross-functionally with Product, Engineering, and Design stakeholders • Strong executive communication skills with the ability to influence senior leadership decisions • Experience integrating experimentation, observational causal methods, and predictive modeling into coherent measurement frameworks • Demonstrated ability to adopt AI-enabled tools thoughtfully while maintaining rigor and governance.

🏖️ Benefícios

• equity awards based on factors such as experience, performance, and location