Data Scientist • Mid-Level

Who you are

You have a strong background in data science, with experience in developing machine learning models and conducting data analysis. You are proficient in Python and SQL, and you understand how to leverage data to drive business insights and improve user experiences. You thrive in collaborative environments, working closely with engineering, product, and business teams to implement data-driven solutions.

You are familiar with scientific methods and procedures, enabling you to analyze real-life experiments effectively. Your ability to convert complex technical knowledge into actionable business insights is a key strength. You are motivated by the opportunity to contribute to projects that have a meaningful impact on urban mobility and the quality of life in cities.

What you'll do

As a Data Scientist at Cabify, you will develop high-impact data science projects that enhance vehicle and route management, user experience, pricing strategies, fraud detection, and marketing optimization. You will participate in the analysis of results from real-life experiments, applying scientific methods to demonstrate the effectiveness of new product features. Your role will involve collaborating with various teams to ensure that data insights translate into tangible business value.

You will be responsible for developing new machine learning models that address specific challenges within the organization. This includes working with large datasets and utilizing state-of-the-art tools and infrastructure to improve everyday operations across more than 40 cities worldwide. Your contributions will help shape the future of urban mobility, making cities better places to live.

What we offer

Cabify provides a unique opportunity to be part of a team that is at the forefront of the urban revolution. You will have access to all data within the organization, allowing you to test and learn while implementing innovative ideas. The company values diversity and is committed to creating an inclusive environment for all employees. You can expect a supportive workplace culture that encourages collaboration and professional growth.