Join Valiot in Sao Paulo, Brazil as a Data Scientist SE2! The Job You are a professional Data Scientist who participates in the implementation of FactoryOS features. Together with our frontend and data engineers, you are configuring the product features to meet our customers’ needs. As a Data Scientist, you will tackle complex problems in the manufacturing industry and solve them through the implementation of our product's different features.Background<ul style="list-style-type:disc;"><li>Studies in applied mathematics, physics, or engineering.</li><li>Experience in client facing roles.&nbsp;</li><li>2+ years of proven experience working with Python.</li><li>Experience implementing Machine Learning algorithms.</li><li>Extensive knowledge of mathematical models (heuristics, neural networks, gradient boosting, optimization, etc.), and their related Python libraries.</li><li>Languages: Written and spoken Portuguese and English.</li><li>Experience using Git: Pull requests, merges, and versioning.</li><li>Bonus: Studies in computer science.</li><li>Bonus: Knowledge of manufacturing processes and operations research.</li><li>Bonus: Experience with Docker, GraphQL and Kubernetes.</li></ul>You’re a fast learner who thrives in challenging environments and has a creative and structured approach to problem-solving. You are a team player who enjoys working with passionate colleagues, who is curious by nature and takes ownership at work. Also, you are responsible and result oriented: you make sure to get things done, even if it means asking for help or having little supervision. Responsibilities<ul><li>Developing custom ML/AI features tailored for each customer.</li><li>Assisting in productionizing ML/AI features..&nbsp;</li><li>Assisting in the collection and documentation of user’s requirements, development of user stories, and point</li><li>estimates.</li><li>Designing, develoing, and unit testing applications following established standards and best practices.</li><li>Supporting on writing client-level documentation for implementations.</li><li>Deploying models and constraints to production.</li></ul>Ready to shape the future of manufacturing? Send your CV to <a href="mailto:paola@valiot.io">paola@valiot.io</a>

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