• Data Analyst II

    Código: 7246

    Vaga: 1 vagas

    Data: 21/07/2020

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    Position Purpose & Summary: Cargill has a significant presence across most supply chains in the agricultural space. With such a footprint comes massive amounts of data that can inform us about markets and ways to improve our business practices. This position is part of the CASC SA Analytics team and oversees the application and development of data analysis/engineering/science tools and pipelines. Your work is to explore, connect and curate internal data sources, develop data models using algorithms for description, prediction and prescription. In this position you will also manage data-driven projects, build business theories and use advanced analytics techniques to develop end-to-end solutions that help deliver significant value to a variety of Cargill’s businesses and functions. Be prepared to be exposed to a wide spectrum of high visibility projects ranging from competitive excellence and supply chain optimization to strategic pricing and market position forecasting. Principal Accountabilities: • Create business theories and propose algorithms to analyze, challenge and leverage data and business models from existing and new data sources. • Develop data products (both models and visualizations). • Seek out industry best practices and develop skills to create/improve analytical capabilities for data analytics at Cargill. • Manage data-driven projects. Qualifications Requirements: • Bachelor degree from an accredited college/university in a major quantitative area (Computer Science, Physics, Statistics, etc.); • In-depth knowledge of the standard data science toolkit (linear models, neural networks, random forest, etc.). • Proficiency in python; • Proficiency in one of these languages/IDEs: R/RStudio, Jupyter, Scala/Eclipse; • Proficiency in developing software for Gnu/Linux and Windows 10/Office 365; • Proficiency in databases (SQL/NoSQL), data modeling, and distributed computing frameworks; • Experience in code management/versioning using git/GitHub; • Experience developing and testing theoretical, machine learning and statistical models; • Advanced in English. PARA SE CANDIDATAR A ESTA OPORTUNIDADE, É NECESSÁRIO CADASTRAR SEU CURRÍCULO NA ABA "PROFISSIONAL" > "CADASTRAR CURRÍCULO". PARA ESCLARECER DÚVIDAS, CHAME WHATSAPP (11) 94275-1826 OU ENVIE UM E-MAIL PARA SUPORTE@RHBANCOS.COM.BR
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    São Paulo-SP