Senior Data Scientist

🕒 Abril 28

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

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

💵 $148.600 - $237.400 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

🦅 Patrocina Visto H1B

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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

• Lead end-to-end experimentation for the marketing team, including A/B test design, analysis, and interpretation of results. • Drive measurement approaches that improve marketing effectiveness, including marketing mix modeling and related performance analyses. • Translate customer insights, metrics, and analytical findings into clear recommendations for technical and non-technical partners. • Identify complex business problems, frame them clearly, and partner across teams to deliver scalable, data-informed solutions. • Build reusable analytical frameworks, including simulations and causal inference approaches, to support broader team decision-making. • Create dashboards and reporting in tools such as Tableau and Databricks to improve visibility into performance and opportunities. • Partner with engineering to improve data quality, strengthen data collection, and build transformation pipelines using tools such as dbt. • Mentor junior team members and champion data-informed decision-making across the organization.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field, or equivalent practical experience. • 5+ years of experience using data to solve complex business problems in a professional environment. • Strong proficiency in SQL and Python, or comparable programming experience, with experience using tools such as Tableau and Databricks. • Experience designing, running, and interpreting experiments, with a strong foundation in statistical analysis and testing methodologies. • Strong business acumen and product sense, • Excellent communication skills and experience working cross-functionally with partners across engineering, product, and marketing. • Broad data science experience spanning exploratory analysis through advanced modeling; experience with machine learning, dbt, marketing attribution, MMM, or AI tools is a plus.

🏖️ Benefícios

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