Senior Data Scientist

1w1 week ago

Cabify

Madrid, ES · Full-time · €50,000 – €63,000

About this role

Cabify aims to make cities better places to live by improving mobility, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. Join our Applied Science team to drive the next urban revolution.

You will propose and develop high-impact data science projects, working closely with data, engineering, product, and business teams. Design, train, and validate statistical and machine learning models, helping deploy them into production. Participate in real-life experiments using academy-standard scientific methods to analyze results and demonstrate impact.

Join a group of highly motivated data scientists with access to all data within the organization. The team contributes to vehicle and route management, user experience, pricing, fraud detection, and marketing optimization across more than 40 cities worldwide. Work with state-of-the-art tools and infrastructure to improve everyday operations.

Convert the team’s work into tangible business insights that bring value to the company. Participate in research and innovation, bringing new ideas and expanding technical knowledge. Be a technical reference, fostering growth, promoting best practices, and diffusing complex ideas in our data culture.

Requirements

At least 5 years of professional experience working as a data scientist or equivalent research role
Strong educational background, e.g. Master/PhD in Computer Science, Physics, Engineering, Mathematics, Economics, etc.
Experience leading the design, training and validation of statistical and machine learning models
Strong knowledge of Python for data analysis and data visualization libraries
Experience with data extraction and processing. Capable of writing complex SQL code
Experience bringing machine learning to production, with all its subtleties: deploying, training, testing, model degradation, model serving, etc.
Ability to work autonomously in an unstructured environment

Responsibilities

Propose and 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 definition and results analysis of real-life experiments, following academy-standard scientific methods
Help to convert the team’s work into real and tangible business insights that bring value to the company
Participate in research and innovation, bringing new ideas to the team and helping expand technical and scientific knowledge
Participate in the diffusion of complex ideas to all sorts of stakeholders, in alignment with the deeply-rooted data culture
Be an active participant in product development conversations, proposing new features and providing the data science perspective
Be a technical reference within the team, fostering growth and promoting best practices