Vaga de Data Scientist em São Paulo - SP - Liv Up
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Data ScientistPostada em 8 de Outubro de 2018
Liv Up is the leading direct-to-consumer healthy food company in Brazil. We have been changing the way people relate to food by delivering the best customer experience in the food industry. By making healthy food very easy and tasteful while offering a transparent and humanized service, we’re turning an ever growing number of people into better eating habits. With our office in the region of Pinheiros, São Paulo, we have been growing over 15% month over month since our launch in March 2016 and we’re backed by Kaszek Ventures (Latin America's top VC firm).
Porque trabalhar aqui
• Work in an informal and cooperative environment that will push your personal and professional growth • Be part of a high impact project that will affect the lives of people throughout the whole food system (from end customers to local organic farmers and everyone in between) • Work in a horizontal, transparent team that not only values your ideas but expects you to actively build the company with us • Have autonomy and responsibility • Learn a lot
de R$6000,00 até R$10000,00
- Vale Transporte
- Vale Refeição
- Discount on Liv Up products
Data Analytics at Liv Up: A core part of our strategy is data analytics. Our data team is responsible for driving business decisions through the entire organization and develop state-of-art data products. In order to achieve our mission, we centralize our data in a single integrated data warehouse that stores data for our business and operations algorithms, as well as our business intelligence tools. Our data warehouse is a PostgreSQL DB, integrating data from 10+ sources. We ETL data using Stitch data, custom Python scripts, and Pentaho Data Integration transformations. On top of the infrastructure, we build algorithms using Python and visualize data using Tableau and Metabase. We integrate data products with our systems through APIs. Data Scientist at Liv Up responsibilities: • Develop predictive and optimization algorithms, solving relevant business and operations problems. • Be part of a squad, understand our business and apply high end data technology to our case. • Identify relevant dimensions of analysis to our problems (demand forecasting, product recommendation, production planning, marketing targeting, vehicle routing) • Research and develop new processes and technologies to create a state-of-art data analytics stack.
We need you to: • Be motivated by hard challenges • Code in Python (or other scripting languages) • Know machine learning or constraint optimization demonstrated through professional experience, competitions or personal projects • Know SQL to get and manage data • Be curious and communicative, understand our problems and context to apply the best technology on the right timing