Beat is one of the most exciting companies to ever come out of the ride-hailing space. Beat’s mission is to become part of people’s everyday life by making transportation more affordable, convenient, efficient and safe, while providing enormous economic opportunities to thousands of people who wish to earn extra income as drivers. Today we are the fastest-growing ride-hailing service in Latin America and part of the international FreeNow Group, the multi-service mobility joint venture backed by BMW Group and Daimler AG. We are serving millions of rides every day pales in comparison to what lies ahead. Our plans for expansion are limitless. Our stellar engineering team operates across a number of European capitals where, right now, some of the world’s most ambitious and talented engineers are changing how cities will move in the future. Beat’s footprint is rapidly expanding with current service in Greece, Peru, Chile, Colombia, Mexico and Argentina.
About the role
You are a creative statistician and data scientist who appreciates the subtlety of measuring incrementality. Whether it be a statistical model, an A/B test, or the objective use of a predictive model.
You are interested in the ride-sharing industry and the impact it creates in every part of the world. With constant learning and adaptation, you will drive the future evolution of the industry, advising Beat on incentives strategy and CRM.
Your impact will be truly global as you will work in diverse teams across Europe and Latin America, with the goal to grow Beat business and enhance a frictionless experience for both riders and drivers.
About the team
The Data team comprises analysts, applied scientists, and engineers with a mandate to enable all corners of the company to exploit data models & customer insights. We extract deep insights, develop predictive models, and run simulations in order to understand the complex system that is urban mobility and translate this into optimised customer experience, optimised ecosystem revenue, and ideation on new business models. This includes projects in customer segmentation, customer journey, pricing, supply/demand, routing, growth, personalisation, and experimentation.