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Senior Data Scientist

4 months ago

Toledo, Ohio, United States Zillow Full time
About the team Zillow Group's mission is to give people the power to unlock life's next chapter. As part of the Growth Data science, you will be an integral partner to Zillow's Growth Product team which has a mission to acquire and activate' high-quality users for Zillow group brands. The Growth product team is an impactful ensemble of multiple key business functions including SEO, Integrated communications, Authorization, Activation, and Onsite Messaging platform that acquire and engage millions of users across our platforms.
Our Data Science team is tasked with absorbing millions, sometimes billions, of rows of data from various sources, organizing them, analyzing them, and visualizing them to help advise both short and long-term decision-making. Our structure is very flat and you will soon find yourself partnering directly with Senior Leadership.

Acerca del equipo:

La misión de Zillow Group es darle a las personas el poder de desbloquear el próximo capítulo de sus vidas. Como parte del equipo de Ciencia de Datos para el Crecimiento, serás un socio integral del equipo de Producto de Crecimiento de Zillow, cuya misión es 'adquirir y activar' usuarios de alta calidad para las marcas del grupo Zillow. El equipo de Producto de Crecimiento es un conjunto impactante de múltiples funciones comerciales clave, que incluyen SEO, Comunicaciones Integradas, Autorización, Activación y la Plataforma de Mensajería en el Sitio que adquieren y atraen a millones de usuarios en nuestras plataformas.

Nuestro equipo de Ciencia de Datos tiene la tarea de absorber millones, a veces miles de millones, de filas de datos de diversas fuentes, organizarlos, analizarlos y visualizarlos para ayudar a asesorar la toma de decisiones a corto y largo plazo. Nuestra estructura es muy plana y pronto te encontrarás colaborando directamente con el liderazgo senior. About the role

We strive to predict our customer's needs at various stages of their real estate journey and serve integrated communications such as home recommendations and new listing updates via email and push notifications across multiple customer touch points. The Data Scientist in this role will partner with product teams to implement an experimentation framework and measurement strategy to uncover deep insights about the customer funnel through multivariate testing and advanced analytics. They will measure the success of messaging and product offering upsells, and use this data to influence business strategy and build product roadmaps.

What you'll do:

  • Collaborate with stakeholders to develop evidence based approaches to finding gaps in the customer experience, measuring efficacy of particular solutions, and incorporating findings into the next iteration.
  • Utilize advanced analytics including clustering, propensity modeling, statistical knowledge, and other explanatory and causal inference techniques to gain a clearer picture of customer behavior.
  • Create compelling data stories and visualizations to influence decision makers.
  • Understand various data structures and common methods in data transformation.
  • Influence and form a close partnership with cross-functional teams of engineers, marketers, user researchers, product owners, designers and business decision makers who are passionate about driving our customer's success
  • Embracing and supporting deployment of standardization and automation throughout program cycles
  • Be hands-on in technical feature development, design and code-reviews, prototyping and deployment to production

Nos esforzamos por prever las necesidades de nuestros clientes en diversas etapas de su viaje inmobiliario y ofrecer comunicaciones integradas, como recomendaciones de viviendas y actualizaciones de nuevas listas a través de correo electrónico y notificaciones push en múltiples puntos de contacto con el cliente. El Científico de Datos en este rol colaborará con equipos de producto para implementar un marco de experimentación y una estrategia de medición para descubrir ideas profundas sobre el embudo del cliente mediante pruebas multivariadas y análisis avanzados. Medirá el éxito de los mensajes y ofertas de productos complementarios, y utilizará estos datos para influir en la estrategia comercial y construir hojas de ruta de productos.

Lo que harás:

  • Colaborar con las partes interesadas para desarrollar enfoques basados en evidencia para identificar brechas en la experiencia del cliente, medir la eficacia de soluciones particulares e incorporar hallazgos en la siguiente iteración.
  • Utilizar análisis avanzados, como agrupamiento, modelado de propensión, conocimientos estadísticos y otras técnicas de inferencia explicativa y causal, para obtener una imagen más clara del comportamiento del cliente.
  • Crear historias y visualizaciones de datos convincentes para influir en los tomadores de decisiones.
  • Comprender diversas estructuras de datos y métodos comunes en la transformación de datos.
  • Influir y formar una estrecha colaboración con equipos interfuncionales de ingenieros, especialistas en marketing, investigadores de usuarios, propietarios de productos, diseñadores y tomadores de decisiones comerciales apasionados por impulsar el éxito de nuestros clientes.
  • Abrazar y respaldar la implementación de estandarización y automatización a lo largo de los ciclos del programa.
  • Participar activamente en el desarrollo técnico de características, revisión de código, prototipado e implementación en producción.

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

At Zillow, we are a group of curious and ambitious problem solvers passionate about all things real estate, and we hope you'd be excited to help consumers make one of the biggest decisions of their lives. Help us guide our business into the future with powerful insights and recommendations We're seeking a data scientist with the following qualifications:

  • A Bachelor's or Master's degree in a quantitative field (eg science, engineering, economics, quantitative finance, operations research, statistics, or similar)
  • 4+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving. Experience working with product teams is strongly preferred.
  • A strong understanding of statistical concepts, measurement issues, and inference techniques.
  • Proficiency in SQL, and either Python or R, along with some experience with Tableau, Mode, or other visualization software
  • 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 cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions

Perfil:

  • Licenciatura o maestría en un campo cuantitativo (por ejemplo, ciencia, ingeniería, economía, finanzas cuantitativas, investigación operativa, estadísticas o similar).
  • Más de 4 años de experiencia laboral en análisis cuantitativo de datos, experimentación y resolución de problemas complejos. Se prefiere la experiencia en trabajo con equipos de producto.
  • Un sólido entendimiento de conceptos estadísticos, problemas de medición y técnicas de inferencia.
  • Competencia en SQL, y ya sea Python o R, junto con experiencia en Tableau, Mode u otro software de visualización.
  • Excelentes habilidades de comunicación verbal y escrita, con la capacidad de sintetizar problemas sofisticados y análisis detallados en marcos simples y estructurados con planes de acción concretos.
  • Capacidad para trabajar de manera interfuncional e influir en los socios comerciales para establecer metas 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 on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees' Choice Award, honoring the Best 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 TIME 100 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 us at (see below) .