.About the teamAs part of the Trulia Data Science team, you will be an integral partner to the broader Zillow Growth Product team which has a mission to 'acquire and activate' high-quality users for Zillow Group brands. The Trulia Data Scienceteam is an impactful ensemble of multiple key business functions including SEO, Integrated Communications, and Onsite Testing that acquire and engage millions of users across our platforms. The Trulia DS team is tasked with organizing, analyzing, and visualizing large datasets from various sources to help advise both short and long-term decision-making. Our structure is very flat and you will soon find yourself working directly with Senior Leadership.Como parte del equipo de Ciencia de Datos de Trulia, serás un socio integral del equipo más amplio de Productos de Crecimiento de Zillow, cuya misión es "adquirir y activar" usuarios de alta calidad para las marcas del Grupo Zillow. El equipo de Ciencia de Datos de Trulia está compuesto por múltiples funciones comerciales clave, incluyendo SEO, Comunicaciones Integradas y Pruebas en el Sitio, que adquieren e involucran a millones de usuarios en nuestras plataformas. El equipo de Trulia DS tiene la responsabilidad de organizar, analizar y visualizar grandes conjuntos de datos de diversas fuentes para asesorar en la toma de decisiones a corto y largo plazo. Nuestra estructura es muy plana, lo que te permitirá trabajar directamente con la alta dirección. About the roleYou will analyze how customers interact with our several platforms to find their next home, using these insights to advise design and product development. You will provide thought leadership in crafting an outstanding shopping experience for Trulia's users, playing a pivotal role in developing the long-term vision of our product ecosystem. You will have frequent opportunities to share your analyses and recommendations with colleagues across the organization and see the results of your efforts affect millions of people. In this role, you will:Partner with product & engineering to help craft a long-term customer strategy.Use sophisticated analytics including clustering, propensity modeling, and causal inference techniques to gain a clearer picture of customer behavior.Build compelling data stories and visualizations to influence decision-makers.Serving as a mentor and resource to other data scientists on the team by hosting learning academies and authoring detailed documentation.Design, analyze, and interpret A/B experiments with statistical precision.Identify and track business-critical metrics; analyze, measure, and report levers that help move them.Collaborate with fellow Data Scientists to build and improve the DS infrastructure (ETLs, dashboards, experimentation platform, tracking, etc