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.
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
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
Python (and its data analysis and machine learning libraries / frameworks)
Docker and Kubernetes
This job comes with several perks and benefits
Time is precious. Make it count. Morning person or night owl, this job is for you.
Want to be a partner? Look no further.
We want to take you from good to great.
You know how you perform best. Work from your couch, your favorite cafe or abroad when you feel like it.
Carve out time for your kids, friends and personal cider projects.