Design, train and validate statistical and machine learning models
Help deploy models into production
Define and analyze real-life experiments on new product features
Propose and develop high-impact data science projects
Turn team work into business insights and explain them to stakeholders
Design, train, and validate statistical and machine learning models and help deploying them into production.
help deploying them into production
Participate in the definition and results analysis of real-life experiments
Propose and develop high-impact data science projects
Help to convert the team’s work into real and tangible business insights that bring value to the company.
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.
Capable of writing complex SQL code.
Experience bringing machine learning to production, with all its subtleties: deploying, training, testing, model degradation, model serving, etc.
- 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.
Likely evergreenReposted 2 times since Mar 21, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 185
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past Cabify’s usual: its jobs come down by about day 30.
From 10,373 similar postings that came down, and 19 of Cabify’s. Coming down is not always a hire.
2 open jobs
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
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Yes. We’ve followed 2 other Senior Data Scientist jobs there since March 2026. 2 came down, usually after about 21 days.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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?
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 Senior Data Scientist in our team, you will:
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: 50K - 63K€
🌍 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 childcare
🐱 A 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!
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Madrid
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