NStack is reinventing the way we do data-processing from the ground up, using a cutting-edge approach around microservices, containers, and functional programming paradigms. We’re looking for an amazing “Data Scientist in Residence” to join our highly technical team of system engineers to help us build applications on our platform.
Your role would be to:
- Build powerful reusable data-science modules on NStack by implementing common patterns in predictive, statistical, spatial analytics, and machine learning, which can be wired up by end-users to build sophisticated workflows
- Be an integral part of the product team as a user-advocate for data scientists and their needs
- Work with our community of customers and users to understand their pain-points and help them architect solutions on the platform
- Ownership on the marketing side to write quality content such in blog-posts, documentation, and walkthroughs around data science
Ideally you’d have experience working as a data-scientist in a team, using Python, R, or MATLAB. Knowledge of functional programming, plus experience with Spark/Storm/Hadoop alongside an understanding of cloud infrastructure would be a huge bonus. You should also be excited by the prospect of working with customers and users, building on the platform, and helping us grow an active community.
This would be a perfect role for someone with a background in data science who also loves being involved with users. You’d be working closely with the founders and be exposed to marketing, sales, as well as being an integral part of a top-tier engineering team on the cutting edge of technology.
NStack is a programmable, cloud-native platform that automates the process around creating data-driven applications.
We're working to make modern organisations lives easier by cutting the the amount of code they have to write, so they can gain valuable insights rapidly without thinking about infrastructure and servers.
NStack is funded by top-tier infrastructure investors from London, Silicon Valley, and Seattle.