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 Data Science team, a group of highly motivated specialists 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. You will work with state-of-the-art tools and infrastructure to help improve everyday operations in more than 40 cities worldwide. Cabify's Data Science team provides a unique opportunity to not only test and learn but also implement great ideas that will shape the future of our cities.
As a Senior Data Scientist in our team, you will:
Propose and develop high-impact data science projects, working closely with other data, engineering, product and business teams.Participate in the definition and results analysis of real-life experiments, following academy-standard scientific methods and procedures, to demonstrate the impact of the new product features we develop.Develop new machine-learning models.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 our technical and scientific knowledge.Participate in the diffusion of complex ideas to all sorts of stakeholders, in alignment with the deeply-rooted data culture of the company.Be an active participant in product development conversations, proposing new features and providing the data science perspective in everything we build.Be a technical reference within the team, fostering growth and promoting best practices.What we're looking for 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.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.Bonus Points Strong background in Probability & Statistics.Experience in the various aspects of scientific experimentation (experiment design, population sampling, testing methodology, statistical significance analysis, etc.).Experience publishing in peer-reviewed scientific journals.Experience with state-of-the-art methods in topics like deep learning models, time series analysis, bayesian statistics, causal inference, etc.Experience with geo data modeling, analysis and visualization.What's it like to work at Cabify? We're a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:
Excellent Salary conditions: Individual Contributor L4 [50-70K€]?Recharge days! (10 Free Fridays annually)Our office is located in Madrid.Flexible work environment & hours.Regular team events.Cabify staff free rides.Personal development programs based on our career paths.Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.? iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcareA pet room, so you don't have to leave your furry friend at home.?And last but not least...free coffee and fruit!Cabify is proud of being an equal opportunity workplace. We celebrate diversity and we are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age or ability. Join us!
#J-18808-Ljbffr