Data Scientist

Do you want to drive the next urban revolution? At Cabify, that’s what we’re doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting  riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we’ve still got a long way to go… want to be part of this journey?

About the position

You will join Cabify’s Applied Science team, a group of highly motivated data scientists with access to all data within the organization. The team is involved in all main areas of the company, including vehicle and route management, understanding user experience, pricing, fraud detection, and marketing optimization (see for yourself: exhibit A, exhibit B, exhibit C). You will work with state-of-the-art tools and infrastructure to help improve everyday operations in more than 40 cities worldwide. Cabify's Applied Science team provides a unique opportunity to research, test and implement great ideas that will shape the future of our cities.

As a Data Scientist in our team, you will:

• Develop high-impact data science projects, working closely with other data, engineering, product and business teams.
• Design, train, and validate statistical and machine learning models and help deploying them into production.
• Participate in the results analysis of real-life experiments, following academy-standard scientific methods and procedures, to demonstrate the impact of the new product features we develop.
• Help to convert the team’s technical knowledge into real and tangible business insights that bring value to the company.
• Join product development conversations, discussing new features and bringing the data science perspective to everything we build.

What we’re looking for

• At least 3 years of professional experience working as a data scientist or equivalent research role.
• Strong educational background, e.g Masters in Computer Science, Physics, Engineering, Mathematics, Economics, etc.
• Solid foundations in Probability & Statistics.
• Experience designing, training and validating statistical and machine learning models.
• Experience working with Python for data analysis and data visualization libraries.
• Experience with data extraction and processing. Capable of writing complex SQL code.
• Ability to work autonomously in an unstructured environment.