The ideal candidate will be responsible for developing, improving and testing a complete data analytics platform. Using statistical analysis, time series analysis, neural networks and reinforcement learning to deliver the best possible business cash flow forecast to a world wide user base. RESPONSIBILITIES: * Design and build services and tooling that support all of our ML and Data Science teams * Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications * Develop prototypes and partner with ML teams to encourage adoption of new tools and technologies * Proactively identify new opportunities and future needs of our ML teams * Lead by example by applying ML and engineering best practices * Stay up-to-date with the latest techniques in machine learning and foster a culture of learning within the organization * Help shape Smart Cash Flow ML capabilities and strategy QUALIFICIATIONS: * 1-3+ years of a combination of engineering and machine learning industry experience * An advanced degree in Machine Learning, Computer Science, Math, Statistics, or a related technical field * Knowledge of and experience with a range of machine learning algorithms, tools, and platforms * Huge bonus if you've had your own company or have an understanding of day to day accounting TECHNOLOGIES WE USE * Python (and its data analysis and machine learning libraries / frameworks) * Julia * Docker and Kubernetes
29-02-2024
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