Ramp is a fast growing UK SaaS startup, with founders who have successfully exited businesses in the past and worked on some of the worlds biggest brands, including Candy Crush, PokemonGO, Curve, Monzo to name a few.
Traditional revenue forecasting for businesses is broken. Ramp was built out of a pure frustration of using spreadsheets to manually forecast our businesses. Ramp is a SaaS platform that predicts the revenue of B2C companies, giving them the ability to plan better and make decisions in real-time.
The Data Scientist role is responsible for improving the Ramp model and doing R&D on new features. You will work in an existing Data Science team. When new model features have passed accuracy bench marks, you will work with the engineering team to productionise the changes. You will have in depth workshops with your peers discussing different solutions to the problems at hand.
Ramp is a predictive analytics platform that gets a live feed from our clients which are global B2C companies. We allow companies to set strategy and scenario plan their future with our platform. Our cohort model is largely regression based currently, using specific business inputs to config individual models. ML is used to improve inputs into the cohort model.
Along with building an accurate model, we also have to solve for big data scale, handling both persistence and compute optimisation.
Responsibilities and Duties
Qualifications & Experience
Skills & Characteristics
What you’ll receive