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