Senior Data Scientist

Zillow hiring for Senior Data Scientist jobs in El Crucero, Veracruz De Ignacio De La Llave, MX

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 Science
team 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 role

You 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.)

En este rol, analizarás cómo los clientes interactúan con nuestras diversas plataformas para encontrar su próximo hogar, utilizando estos conocimientos para asesorar sobre el diseño y desarrollo de productos. Proporcionarás liderazgo intelectual para crear una experiencia de compra excepcional para los usuarios de Trulia, desempeñando un papel clave en el desarrollo de la visión a largo plazo de nuestro ecosistema de productos. Tendrás oportunidades frecuentes para compartir tus análisis y recomendaciones con colegas de toda la organización, y verás cómo los resultados de tus esfuerzos impactan a millones de personas. En este rol, deberás:

• Colaborar con los equipos de producto e ingeniería para diseñar una estrategia a largo plazo centrada en el cliente.

• Utilizar análisis sofisticados, como agrupamiento, modelos de propensión y técnicas de inferencia causal, para obtener una mejor comprensión del comportamiento del cliente.

• Crear historias y visualizaciones de datos impactantes para influir en los tomadores de decisiones.

• Actuar como mentor y recurso para otros científicos de datos del equipo, organizando academias de aprendizaje y redactando documentación detallada.

• Diseñar, analizar e interpretar experimentos A/B con precisión estadística.

• Identificar y realizar un seguimiento de métricas críticas para el negocio; analizar, medir e informar sobre los factores que influyen en ellas.

• Colaborar con otros científicos de datos para construir y mejorar la infraestructura de Ciencia de Datos (ETLs, paneles de control, plataforma de experimentación, seguimiento, etc.).

This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-office events.

In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.

Who you are

You are ready to bring your data and analytics expertise to transform what it means to dream, search, and find a home. You seek to understand the many needs of our customers and advocate for them at every turn. You have an appreciation of the unique challenges posed by a multi-platform experience. Additionally, you are:

• Creative and enthusiastic about seeking new solutions to problems and opportunities.

• Have an undergraduate or Master’s degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar).

• 4+ years of work experience involving quantitative data analysis, experimentation and sophisticated problem-solving, preferably in a consumer-facing product.

• A strong understanding of statistical concepts, measurement issues, and inference techniques.

• Experience articulating and translating business questions and using statistical techniques to arrive at answers.

• Proficiency in SQL, Python/R, along with some experience with visualization tools and working with terabyte sized clickstream data.

• Experience with ETL pipelines, scheduling and productionalizing. (Airflow, Spark, or similar experience is a plus)

• Ability to think creatively and provide thoughtful, agile insights

• Superb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plans

• Able to work across silos and influence business partners to set realistic goals and focus on data-driven solutions

Estás listo para aportar tu experiencia en datos y análisis para transformar lo que significa soñar, buscar y encontrar un hogar. Buscas comprender las diversas necesidades de nuestros clientes y defender sus intereses en todo momento. Aprecias los desafíos únicos que presenta una experiencia multiplataforma. Además, eres:

• Creativo y entusiasta en la búsqueda de nuevas soluciones a problemas y oportunidades.

• Titulado en un campo cuantitativo (por ejemplo, matemáticas, ingeniería, estadística, finanzas o similar).

• Con más de 4 años de experiencia laboral en análisis de datos cuantitativos, experimentación y resolución de problemas complejos, preferiblemente en productos orientados al consumidor.

• Con una sólida comprensión de conceptos estadísticos, problemas de medición y técnicas de inferencia.

• Capaz de articular y traducir preguntas comerciales, utilizando técnicas estadísticas para llegar a respuestas.

• Competente en SQL y Python/R, con experiencia en herramientas de visualización y manejo de datos de flujo de clics de gran tamaño.

• Familiarizado con pipelines ETL, programación y producción (la experiencia con Airflow, Spark o similar es una ventaja).

• Capaz de pensar creativamente y proporcionar información ágil y reflexiva.

• Con excelentes habilidades de comunicación verbal y escrita, capaz de simplificar problemas complejos y análisis detallados en marcos claros con planes de acción concretos.

• Capaz de trabajar en colaboración con diferentes áreas e influir en socios comerciales para establecer objetivos realistas y centrarse en soluciones basadas en datos.

Get to know us

Zillow is reimagining real estate to make it easier to unlock life’s next chapter. 

As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality. 

Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, and a  fundamental commitment to Equity and Belonging. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews onGlassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring theBest Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME100 Most Influential Companies list.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, and gender identity. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.