Data Scientist, Applied Science (Madrid)

Data Scientist, Applied Science (Madrid)

04 ago
|
Cabify
|
Madrid

04 ago

Cabify

Madrid

ppDo 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? /p h3About The Position /h3 pYou 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. /p h3As a Data Scientist in our team, you will: /h3 ul liDevelop high-impact data science projects, working closely with other data, engineering, product and business teams. /li liDesign, train, and validate statistical and machine learning models and help deploying them into production. /li liParticipate in the results analysis of real-life experiments, following academy-standard scientific methods and procedures, to demonstrate the impact of the new product features we develop. /li liHelp to convert the team’s technical knowledge into real and tangible business insights that bring value to the company. /li liJoin product development conversations, discussing new features and bringing the data science perspective to everything we build. /li /ul h3What we’re looking for /h3 ul liAt least 3 years of professional experience working as a data scientist or equivalent research role. /li liStrong educational background,



e.g Masters in Computer Science, Physics, Engineering, Mathematics, Economics, etc. /li liSolid foundations in Probability Statistics. /li liExperience designing, training and validating statistical and machine learning models. /li liExperience working with Python for data analysis and data visualization libraries. /li liExperience with data extraction and processing. Capable of writing complex SQL code. /li liAbility to work autonomously in an unstructured environment. /li /ul h3Bonus Points /h3 ul liExperience bringing machine learning to production, with all its subtleties: deploying, training, testing, model degradation, model serving, etc. /li liExperience with state-of-the-art methods in topics like deep learning models, time series analysis, bayesian statistics, causal inference, etc. /li liExperience with geo data modeling, analysis and visualization. /li /ul h3What’s it like to work at Cabify? /h3 pWe’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: /p ul liExcellent Salary conditions: 38K - 53K€ /li liOur office is located in Madrid. /li liFlexible work environment hours. /li liRegular team events. /li liCabify staff free rides. /li liPersonal development programs based on our career paths. /li liCoursera: your own license in Coursera to take as many courses as you wish and continue developing your skills. /li liiFeel: Free access to the iFeel platform, so you can take care of your emotional well‑being through therapy sessions. /li liFlexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare /li liA pet room ,so you don’t have to leave your furry friend at home /li lifree coffee and fruit! /li /ul pCabify 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. /p /p #J-18808-Ljbffr

📌 Data Scientist, Applied Science (Madrid)
🏢 Cabify
📍 Madrid

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