Data Scientist | Support (FULLY REMOTE)

[MX] Ciudad de México

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Rappi
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Posted 1 week ago

YOUR NEXT STEP IS AT RAPPI!
Rappi is one of the first Latin American unicorns and a start-up that continues to focus on growing and making life easier for our users. As a company, we seek to continue improving the services we already offer, add more to our offer and continue expanding throughout the Latin American continent.
The Company
Rappi is the fastest growing Latin American startup, backed by the world's top investors, including Sequoia, Andreesen Horowitz, Y Combinator and Softbank. We reached unicorn status last year and haven't slowed down. We operate in 100+ cities across 9 countries in Latin America, with large hubs in Mexico City, Bogotá, Sao Paulo, and Buenos Aires . We are building a regional strategic unit that will be in charge of leveraging Rappi's wealth of transactional data to build scalable products that drive business growth.
At Rappi, no two days are the same. We love to hustle, work hard for a greater good and strive to be the leading tech company in Latin America. Rappi is growing at a tremendous rate and this position is crucial in our pursuit of a game-changing experience for our users and partners.
The Team 
The Data Science team plays a leading role in solving our most challenging problems and guiding the decisions that we take around product, marketing 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.

Role Objective

  • Build, implement, and maintain machine learning systems in technology products. Lead engineering best practices for scaling ML and designing/building software that is reliable, scalable, and secure
  • Be responsible for the implementation, testing, and release of a range of models, both for existing and “to-be-invented” use cases
  • Building end-to-end data pipelines to train, maintain, and track performance of our Machine Learning and Operations Research products

Must Have

  • Talents You Bring To The Team

  • Strong knowledge of analytics and predictive modeling, including experience with statistical models, deep learning, and deploying ML models into a production environment.
  • Python, R, Java, and advanced SQL and NoSQL
  • Experience working in environments such as AWS (S3/EC2), Azure, Google Cloud and building, deploying, and managing applications within these environments.
  • Understanding of snowflake, worked with either XML and/or JSON objects
  • Degree in Computer Science, Data Science, Mathematics or similar field
He leído y acepto la Autorización de Datos Personales de Rappi S.A.S https://docs.google.com/document/d/e/2PACX-1vRFEkFojVd3AfFsARRsdZpiSjA_xQGK5Y7ZCBT3gw19MOdQVqH5nRAuSqyu3yZq2A/pubConforme a la Política de Tratamiento de Datos Personaleshttps://legal.rappi.com/colombia/politica-de-proteccion-y-tratamiento-de-datos-personales-rappi-s-a-s/
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I have read and accept the Authorization of Personal Data from Rappi S.A.S https://docs.google.com/document/d/e/2PACX-1vRFEkFojVd3AfFsARRsdZpiSjA_xQGK5Y7ZCBT3gw19MOdQVqH5nRAuSqyu3yZq2A/pubIn accordance with the Personal Data Treatment Policyhttps://legal.rappi.com/colombia/autorizacion-de-tratamiento-de-datos-personales-rappitenderos-rappi-s-a-s/
Job tags: AWS Data pipelines Deep Learning Engineering Java JSON Machine Learning Marketing ML NoSQL Python R Research SQL
Job region(s): North America Remote/Anywhere
Job stats:  40  5  0
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