Data Scientist

[MX] Ciudad de México

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.
Hey, keep it in mind that Rappi is an equal opportunity employer and hires qualified individuals regardless of gender, race, sexual orientation, religion, nationality, age, disability or background. You'll be most welcome here!
As a data scientist at RappiCard you will be responsible for the creation of new data science and machine learning products by envisioning and executing strategies that will improve the business’s performance while enabling informed and automatic decision making. You should feel comfortable working proactively with business stakeholders to drive the business forward. You will be responsible for designing, creating and executing advanced data analysis and machine learning models. 

As a data scientist you should:

  • Work closely with business stakeholders to identify issues and use data to develop solutions for effective decision making.
  • Use data to drive the business forward, to get to know our customers better.
  • Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods.
  • Look for opportunities to use insights/datasets/code/models across other functions in the organization.
  • Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

You'll need to have:

  • Excellent analytical and problem-solving skills
  • Experience using relational databases and proficiency with Python and SQL.
  • Theoretical and applied skills in statistics and machine learning.
  • Experience training and deploying machine learning models.
  • MLOPs skills either, through third party providers, or using open-source tools.
  • Skills to present your work to the business visually using PowerBI or comparable software.

Escolaridad:Ciencia de datos, estadística, computación o similaresHerramientas: Python, SQL, Docker, Flask, FastApi, SKlearn, PyTorch Para un Sr: 4 años de experienciaMaestría: Ciencia de Datos, Inteligencia Artificial (aunque no es obligatorio)

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/

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data analysis Docker Flask Machine Learning ML models MLOps Power BI Python PyTorch RDBMS Scikit-learn SQL Statistics

Job stats:  18  3  0
Category: Data Science Jobs

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