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Lead Data Scientist

Rappi


1 month ago

Job type: Full-time

Remote (LATAM Only)

Hiring from: LATAM Only

Category: Data


The Opportunity 
At Rappi, we believe in changing people’s lives. We know that through connecting people by means of technology Latin America will never be the same. We want to connect every type of business with every type of user. That’s why we built a technology Startup that allows supermarkets, restaurants, corner shops, and other businesses to sell their products that are delivered by Rappitenderos to every corner of your city around LATAM, we help millions of users to order and receive anything they want in around 30 minutes, solving inefficient logistics and positively impacting the lives of hundreds of thousands of Rappitenderos.
 
The Team 
Our expectations are pretty high for data scientist positions. The Data Science team plays a leading role in solving our most challenging problems and guiding the decisions that we take around product, growth, and operations. Information is only valuable when transformed into actionable insights, and it is through experimentation, high-tempo testing, rigorous measurement, and correct communication, that our teams achieve our audacious goal to establish Rappi as the super-app in LatAm.
 
This is an ambitious project in which we expect to achieve significant progress in terms of personalization. We believe that a robust personalization is key to provide the kind of experience that our users expect and have a competitive edge within our industry. More specifically, conversion is the main KPI we expect to impact with this project. 



Responsabilities
  • +5 years in data science
  • People management 
  • +3 years experience in personalization (recommender systems/engines)  
  • Desarrollar, construir, testear y mantener arquitecturas de software.
  • Alinear arquitecturas con necesidades de negocio.
  • Adquisición de datos.
  • Desarrollar procesos sobre los data sets.
  • Usar lenguajes de programación y herramientas.
  • Identificar formas para mejorar la confianza en los datos, eficacia y calidad.
  • Realizar investigaciones para responder preguntas de la industria y el negocio.
  • Usar grandes datasets para responder problemas del negocio.
  • Desplegar sistemas de datos.
  • Preparar datos para modelado predictivo y prescriptivo.
  • Encontrar patrones ocultos utilizando datos.
  • Usar datos para descubrir tareas que pueden ser automatizadas.
  • Informar novedades a stakeholders basadas en datos y sus analiticas.
Highly competitive salary
 
Remote work
 
Stock options plan

Before you apply, please check if any restrictions apply in terms of time zone or country.

This job has a geo-restriction in place: LATAM Only.

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