Data Scientist in Cabify

Closed job - No longer receiving applicants

The Maxi Mobility group, the owner of Cabify, launched one month ago its own digital wallet called Lana ( oriented to all ecosystem of mobility (Cabify, Easy Taxi, Glovo, and Movo).
Lana -the Maxi's company- is a Tech Startup with focusing in the Gig Economy through a digital wallet. We started launching in Chile, México, and Perú, and we expect to start soon in other countries.

Funciones del cargo

There are three things that we believe differentiate this offer at Cabify from most of the Data Science positions you see everywhere:

  • We have already in place a world-class data architecture and infrastructure, both from production and analytics. We also have an exceptional Data Engineering team that provides the support and pipelines necessary to do real Data Science.
  • We have a truly exceptional Data Science team. We come from all sorts of backgrounds: physics, software engineering, mathematics, industrial engineering, telecommunications, etc. and we hold ourselves to the most rigorous standards.
  • Very high probability of making a real impact on the world. Being mobility-as-a-service a very new industry and Cabify a company with global reach, the work we do is bound to have a massive and immediate impact. It’s part of what makes this place really attractive to work as a Data Scientist.

Being mobility as service a very new field, you will find yourself making huge impacts because we often face problems no one ever faced before. Deciding how to charge for a ride, which car should pick up a certain passenger or how should we more wisely invest our growth effort are real-time decisions we have already proved we can make an impact (you can see by yourselfexhibit 1,exhibit 2), and we are sure with amazing individuals such as you joining the team we will get them significantly better.

As you can imagine this is an extremely exciting time for Cabify and the Data Science team, and people who join us now are guaranteed to have a huge impact in the business and the future of cities. Data Science team currently hosts 10 exceptional data wizards and we are looking for more people with “superpowers”. And if ride hailing was not enough of a challenge, Data Science Team is now also expected to significantly contribute to the hyper growth of MOVO, our electric motorbikes and kick-scooters brand. If you also love our cities to go greener, it is the perfect time to join us.

Requerimientos del cargo

We’re looking for a great Data Scientist who brings a lot of experience in the three main branches of Data Science: statistical inference, machine learning and data analysis. You will be expected to have a good understanding of those fields, so we are looking for someone with expertise and experience in similar positions. Besides those, we highly value people with first-hand experience with deploying machine learning models into production.

  • Strong knowledge on either R or python for data analysis and data visualization libraries (ggplot, seaborn, plotly...)
  • Strong educational background, e.g Degree in Computer Science, Physics, Engineering, Mathematics, Economics or equivalent experience
  • Demonstrable experience using Machine Learning techniques and applying them in production environments
  • Ability to work autonomously in an unstructured environment
  • A background in Probability & Statistics would be a bonus
  • Experience publishing in peer reviewed scientific journals is a plus
  • Experience with geo data modelling, analysis and viz is a plus, we LOVE maps, especially if they tell stories :)


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 family.

  • Competitive salary based on experience
  • Flexible work environment & hours
  • Regular fun team events
  • Cabify staff allowance
  • Personal development programmes
  • All the gear you need - just bring yourself.

Every third Friday of the month is Recharge Day (extra day-off)

Fully remote You can work from anywhere in the world.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

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