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Data Scientist
hace 2 meses
We are seeking a highly motivated and experienced Data Scientist to join our team at Cabify. As a Data Scientist, you will play a key role in driving business growth and improving operational efficiency through data-driven insights.
Key Responsibilities- Develop high-impact data science projects, working closely with other data, engineering, product, and business teams.
- Participate in the results analysis of real-life experiments, following academy-standard scientific methods and procedures, to demonstrate the impact of new product features.
- Develop new machine-learning models and help to convert 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.
- At least 3 years of professional experience working as a data scientist or equivalent research role.
- Strong educational background, e.g., Master's in Computer Science, Physics, Engineering, Mathematics, Economics, etc.
- Solid foundations in Probability & Statistics.
- 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.
- Excellent salary conditions.
- Recharge days (10 free Fridays annually).
- 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 childcare.
- A pet room, so you don't have to leave your furry friend at home.
- Free coffee and fruit.
Cabify is proud of being an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of background, gender, religion, orientation, age, or ability.
