Data Science Specialist

[ARG] Buenos Aires

Rappi

Pide en línea domicilio de restaurantes, supermercado, medicamentos y ¡mucho más! Tus tiendas favoritas están en Rappi. Entregamos con amor en todo México ♥♥

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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.
YOUR NEXT STEP IS AT RAPPI!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.Our commitment is to make 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. To fulfill this challenge 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.
Data Science at RappiThe 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

In the Marketing Growth Data Science Team we are working on changing the traditional marketing vision with a scientific perspective, developing data models that will improve all out marketing spend. To achieve this we are structuring our working path in three different pillars which are Customer Value, Budget Allocation and Customer DNA.
In Customer Value we are developing LTV, churn and purchasing probability models to better assign which user will require a marketing stimulus to continue operating with the platform.Budget Allocation includes all the toolbox to provide to business levels all the necessaryinformation to correctly allocate our marketing spend: dashboards, kpi forecasting, mediachannel elasticity analysis and automatic bidding.Customer DNA is in charge of identifying users' preferences and similarities, in order to select the best stimulus for each customer and create recommendations based on the user's activity in the platform.Every business area needs to optimize their resources, and in growth marketing we are the key area to accomplish that. If you join us you will have the opportunity to work on all these cutting edge modelling problems.

Main Responsibilities

  • 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.

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 (preferably), R, or Java.
  • 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 (Airflow).
  • Degree in Computer Science, Data Science, Mathematics or similar field.
  • Independent and responsible. We work fully remote, so we believe in our commitment to work.
  • Previous experience in Marketing or Product Analysis is valuable
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/

Tags: Airflow AWS Azure Computer Science Data pipelines Deep Learning EC2 Engineering GCP Google Cloud Machine Learning Mathematics ML models NoSQL Pipelines Predictive modeling Python R Research SQL Testing

Perks/benefits: Career development Startup environment

Region: South America
Country: Argentina
Job stats:  1  0  0

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