Vaga: Vaga de Desenvolvedor de Sistemas em Sao Paulo/SP - home office

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Home Office

Descrição Geral

Empresa localizada na cidade de São Paulo/SP do ramo Informática, contrata Desenvolvedor de Sistemas.

Atribuições

Were looking for a talented and passionate data scientist to join wildlifes team in são paulo, brazil. As a data scientist, you will expand game potential by providing non-Trivial solutions to business questions, such as how to analyse game performance, engage players, customize content, run successful experiments, and optimize game economy. We know that the work we do has a high impact on our companys success and culture. The right person for this position is curious by nature, and comfortable in a take the initiative environment, loves solving problems, and can thrive in a fast and growing business. What youll do enable game teams to make data-Informed decisions by providing access to data, fostering best analytical practices and rigor, creating analyses, tools and models to solve specific game problems, and acting as a liaison between game teams and wildlife platform. Accelerate game development by answering business questions quickly levering existing tools or building new ones. Expand game potential by providing non-Trivial solutions to business questions such as how to analyse game performance, engage players, customize content, run successful experiments, and optimize game economy. What youll need knowledge of statistics and machine learning that is both deep and broad professional experience working as a data scientist or machine learning engineer on technically challenging problems experience with product analytics knowledge of looker (nice to have) more about you you can frame open-Ended business problems and find creative solutions using data you communicate in a structured way both speaking and writing, especially in english you are autonomous in leading the execution of solutions proactively giving visibility to stakeholders and asking for help whenever needed you promote rigorous but pragmatic analytical practices among other data scientists and business partners.

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