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 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:

• Propose and develop high-impact data science projects, working closely with other data, engineering, product and business teams.
• Design, train, and validate statistical and machine learning models and help deploying them into production.
• 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.
• 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.
• 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.
• 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: 50K - 63K€

🏝️ 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 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!

Do you want to change the world? 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... fancy joining us?

About the position

As an Data Science Manager, Advanced and Product Analytics, you’ll take your first step into the exciting world of analytics leadership at Cabify. This is a perfect opportunity for someone with a strong background as a Senior Data Scientist who’s ready to evolve into a people and delivery leader while still staying hands-on with data.

You’ll be part of an exceptional team of over 30 SQL and data visualization specialists, and work within one of our 11 analytics problem spaces aligned with business units across the company. In your group, you’ll collaborate closely with Product, Engineering, Growth, and Operations, using agile methodologies to deliver high-impact insights and analytics products.

We believe that great analytics leadership is rooted in great analysis. As such, this role combines strategic thinking, stakeholder management, and the ability to mentor other scientist, while still being deeply involved in data exploration and technical execution.

You will:

• Work closely with stakeholders to understand business needs, prioritize projects, and ensure delivery of actionable insights.
  
  
• Be a technical reference in the team, leading complex data initiatives and helping define data models and reporting frameworks.
  
  
• Own and deliver analyses that guide business and product decisions, communicating findings clearly to senior stakeholders.
  
  
• Own the dashboards and KPI strategy, ensuring analytical solutions drive decision-making, scalability, and consistency across teams.
  
  
• Help design new product features alongside PMs and engineers, from the ideation phase to post-launch impact measurement.
  
  
• Support the development and documentation of robust, scalable, and reusable SQL models and pipelines.
  
  
• Mentor Data Scientist and contribute to a strong data culture across your team.
  
  

Our ideal candidate has:

• Great alignment with our principles — we take this very seriously.
  
  
• 5+ years of experience in Analytics or Data Science, including 2+ years operating as Senior Data Analyst, with a demonstrated track record of leading complex, high-impact analytical initiatives.
  
  
• 2+ years of experience leading data teams or major cross-functional initiatives, including people management and/or sustained ownership of technical direction, with prior experience as a Tech Lead, Data Lead, or Manager preferred.
  
  
• Strong proficiency in SQL and experience working with large-scale data warehouses (BigQuery, Redshift, etc.).
  
  
• Hands-on experience with data visualization tools such as Tableau or PowerBI.
  
  
• Familiarity with product analytics tools like Amplitude, Mixpanel, or Datadog.
  
  
• A degree in Business, Economics, Engineering, Statistics, or a related field.
  
  
• Full professional fluency in English and Spanish.
  
  
• Experience mentoring or coaching other analysts.

Bonus points:

• Familiarity with Airflow and Git-based workflow for data modeling.
  
  
• A Master’s degree in Analytics, Business Intelligence, or similar.
  
  

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:

⌚Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶Excellent salary conditions 50K - 70K € depending on experience

🏝️Recharge days

🌍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

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions

📐Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills

💳Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻All the equipment you need (you only have to bring your talent)

🐱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 are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability.

Join us!

Do you want to change the world? 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...fancy joining us?

About the position

As a Data Scientist, Advanced and Product Analytics, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Science, Advanced and Product Analytics department is organized around 11 problem spaces that mirror the structure of the entire company, ensuring that every decision we make at Cabify is data-driven.

In your day-to-day role, you'll work in a multidisciplinary squad with other disciplines such as Product, Engineering, Growth, and Operations. We also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, to perform intensive analysis thus maximizing operational efficiency.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL models in our datawarehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Create dashboards and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
• Execute exploratory analysis to shape future projects and provide action recommendations.
• Present findings to squad team members to guide business and product decisions.
• Work closely with engineers to define what data is needed for analysis, request creation of new app events, 3rd party integrations, collaborate in the data models design, granularity, and how they relate to existing models.
• Help design new features alongside product managers and engineers, measuring their performance and testing their business impact.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• At least 2 years of working experience as an Analyst
• Experienced in writing and understanding complex SQL and working with large data sets
• Working knowledge of Tableau, Qlik, PowerBI, Looker, or any other data visualization tool
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• A Master's degree in Business Analytics, Business Intelligence, or related 
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar

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:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 30.000€ - 40.000€

🏝️ Recharge days

🌍 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.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 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 are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

Do you want to change the world? 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...fancy joining us?

About the position

As a Data Scientist, Advanced and Product Analytics, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Science, Advanced and Product Analytics department is organized around 11 problem spaces that mirror the structure of the entire company, ensuring that every decision we make at Cabify is data-driven.

In your day-to-day role, you'll work in a multidisciplinary squad with other disciplines such as Product, Engineering, Growth, and Operations. We also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, to perform intensive analysis thus maximizing operational efficiency.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL models in our datawarehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Create dashboards and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
• Execute exploratory analysis to shape future projects and provide action recommendations.
• Present findings to squad team members to guide business and product decisions.
• Work closely with engineers to define what data is needed for analysis, request creation of new app events, 3rd party integrations, collaborate in the data models design, granularity, and how they relate to existing models.
• Help design new features alongside product managers and engineers, measuring their performance and testing their business impact.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• At least 2 years of working experience as an Analyst
• Experienced in writing and understanding complex SQL and working with large data sets
• Working knowledge of Tableau, Qlik, PowerBI, Looker, or any other data visualization tool
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• A Master's degree in Business Analytics, Business Intelligence, or related 
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar

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:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 30.000€ - 40.000€

🏝️ Recharge days

🌍 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.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 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 are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

Do you want to change the world? 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... fancy joining us?

About the position

As an Data Science Manager, Advanced and Product Analytics, you’ll take your first step into the exciting world of analytics leadership at Cabify. This is a perfect opportunity for someone with a strong background as a Senior Data Scientist who’s ready to evolve into a people and delivery leader while still staying hands-on with data.

You’ll be part of an exceptional team of over 30 SQL and data visualization specialists, and work within one of our 11 analytics problem spaces aligned with business units across the company. In your group, you’ll collaborate closely with Product, Engineering, Growth, and Operations, using agile methodologies to deliver high-impact insights and analytics products.

We believe that great analytics leadership is rooted in great analysis. As such, this role combines strategic thinking, stakeholder management, and the ability to mentor other scientist, while still being deeply involved in data exploration and technical execution.

You will:

• Work closely with stakeholders to understand business needs, prioritize projects, and ensure delivery of actionable insights.
  
  
• Be a technical reference in the team, leading complex data initiatives and helping define data models and reporting frameworks.
  
  
• Own and deliver analyses that guide business and product decisions, communicating findings clearly to senior stakeholders.
  
  
• Own the dashboards and KPI strategy, ensuring analytical solutions drive decision-making, scalability, and consistency across teams.
  
  
• Help design new product features alongside PMs and engineers, from the ideation phase to post-launch impact measurement.
  
  
• Support the development and documentation of robust, scalable, and reusable SQL models and pipelines.
  
  
• Mentor Data Scientist and contribute to a strong data culture across your team.
  
  

Our ideal candidate has:

• Great alignment with our principles — we take this very seriously.
  
  
• 5+ years of experience in Analytics or Data Science, including 2+ years operating as Senior Data Analyst, with a demonstrated track record of leading complex, high-impact analytical initiatives.
  
  
• 2+ years of experience leading data teams or major cross-functional initiatives, including people management and/or sustained ownership of technical direction, with prior experience as a Tech Lead, Data Lead, or Manager preferred.
  
  
• Strong proficiency in SQL and experience working with large-scale data warehouses (BigQuery, Redshift, etc.).
  
  
• Hands-on experience with data visualization tools such as Tableau or PowerBI.
  
  
• Familiarity with product analytics tools like Amplitude, Mixpanel, or Datadog.
  
  
• A degree in Business, Economics, Engineering, Statistics, or a related field.
  
  
• Full professional fluency in English and Spanish.
  
  
• Experience mentoring or coaching other analysts.

Bonus points:

• Familiarity with Airflow and Git-based workflow for data modeling.
  
  
• A Master’s degree in Analytics, Business Intelligence, or similar.
  
  

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:

⌚Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶Excellent salary conditions 50K - 70K € depending on experience

🏝️Recharge days

🌍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

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions

📐Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills

💳Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻All the equipment you need (you only have to bring your talent)

🐱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 are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability.

Join us!

Do you want to change the world? 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...fancy joining us?

About the position

As a Senior Data Scientist, Advanced and Product Analytics, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Science, Advanced and Product Analytics department is organized around 11 problem spaces that mirror the structure of the entire company, ensuring that every decision we make at Cabify is data-driven.

In your day-to-day role, you'll work in a multidisciplinary squad with other disciplines such as Product, Engineering, Growth, and Operations. We also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, to perform intensive analysis thus maximizing operational efficiency.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

Lead technical data projects autonomously to enhance the company's analytics capabilities through functions such as:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL and abstract data models in our data warehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Define the squad analytics and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
• Generate and execute ideas for exploratory analysis to shape future projects and provide action recommendations.
• Define KPIs and present findings to squad members and senior management to guide business and product decisions.
• Lead discussions with the engineering team to define and design everything required to satisfy our data needs.
• Help design new features alongside product managers and engineers, giving data insights, measuring their performance and testing their business impact.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• +3 years of working experience as an Analyst
• Proficient in writing and understanding complex SQL and working with large data sets
• Working expertise of Tableau or PowerBI
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• A Master's degree in Business Analytics, Business Intelligence, or related 

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:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 38.000€ - 53.000€

🏝️ Recharge days

🌍 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.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 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 are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

Do you want to change the world? 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...fancy joining us?

About the position

As a Senior Data Scientist, Marketing, you'll be part of an exceptional team of over 30 SQL and data visualization specialists and be focused on a specific problem space ensuring that every decision in Marketing team is data-driven. 

In your day-to-day role, you'll work conducting data analysis aimed at helping decision makers to maximize digital traffic sources’ return, as well as sizing the impact of flows and communications to our different audiences, including CRM campaigns managed through Braze, all of this by working closely with Engineering discipline. We also follow agile methodologies and foster an environment of knowledge and resource sharing among the department.

If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, as well as multiple data sources related to digital networks and our customer engagement platform, Braze.

We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company.

You will:

Lead technical data projects autonomously to enhance Marketing analytics capabilities through functions such as:

• Exploit large-scale data warehouses performing efficient SQL.
• Define ETL and abstract data models in our data warehouse with Airflow.
• Document and maintain your code and queries in Gitlab.
• Define analytics and reports using Tableau to communicate results and monitor KPIs regularly.
• Generate and execute ideas for exploratory analysis to shape future projects and provide action recommendations.
• Define KPIs and present findings to Marketing team and senior management to guide business and product decisions.
• Lead discussions with the engineering team to define and design everything required to satisfy our data needs, including network integrations.
• Help design and define events with Engineering to be consumed by networks and platforms.
• Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment.

Our ideal candidate has:

• Great alignment with our principles, we take this very seriously
• +3 years of working experience as a Data Scientist or Data Analyst
• Proficient in writing and understanding complex SQL and working with large data sets
• Working expertise of Tableau or PowerBI
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish

Bonus points:

• Master's degree in Business Analytics, Business Intelligence, or related 
• Master’s degree or certificates on Digital Marketing are a big plus
• At least 2 years on specific digital marketing related experience
• Strong knowledge of digital marketing attribution modeling

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:

⌚ Hybrid Model (2 work-from-home days per week plus 6 weeks per year)

💶 Excellent Salary conditions: 38K - 53K€

🏝️ Recharge days (10 Fridays Off annually)I

🌍 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.

🧘‍♀️ iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.

📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.

💳 Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare

💻 All the equipment you need (you only have to bring your talent).

🐱 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 are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability. 

Join us!

Location: Madrid

About the Role

We are looking for experienced and inspiring data science leaders who are excited to take ownership of critical areas in the business—such as product optimization, personalization, or marketing—and lead small, collaborative teams to deliver meaningful impact.

As a Lead Data Scientist at Fever, you will combine strong technical skills with an ability to work across diverse teams and projects. You'll use data to solve complex business problems while also supporting the growth and development of your teammates.

This is a highly cross-functional and visible role where your work will directly shape key business and product decisions. You’ll have the chance to influence the direction of the Data Science team and contribute to our shared culture of learning, innovation, and inclusion.

What You’ll Do

• Take full ownership of strategic data science projects, from exploration to deployment
• Guide, mentor, and support a small team of Data Scientists, helping them grow technically and professionally
• Design and build models for personalization, forecasting, user behavior analysis, and marketing efficiency
• Collaborate with Product, Engineering, Marketing, and other teams to turn data insights into real-world impact
• Help prioritize projects effectively based on value and feasibility, keeping a strong product and user focus
• Play an active role in hiring, onboarding, and nurturing an inclusive team culture
• Partner with senior leaders to inform strategic planning for the Data function at Fever

Who You Are

• You have strong foundations in statistics, machine learning, and mathematics (a Master’s or PhD is a plus).
• You are confident in exploring data, designing models, and evaluating their performance with rigor
• You thrive in ambiguity, balancing tech health with speed of impact and learning, and are able to help a team incorporate new information as it emerges
• You are skilled in SQL and Python-based tools (Pandas, NumPy, Scikit-learn, etc.).
• You write clean, maintainable, and reproducible code, and can also prototype ideas quickly when needed
• You have experience leading data science projects and know how to deliver valuable insights without overcomplicating the solution
• You enjoy helping others grow, sharing feedback, and fostering a supportive, collaborative work environment
• You are curious, resourceful, and proactive when faced with complex challenges.
  
  

Nice to Have

• Experience with recommendation systems, Bayesian modeling, or causal inference
• Background in growth, marketing analytics, or digital product optimization
• Familiarity with ML frameworks like PyTorch, JAX, or TensorFlow
• Exposure to experimentation platforms or production ML pipelines.
  
  

Benefits & Perks

• Bonus linked to performance
• Stock options
• 40% discount on all Fever events and experiences
• Flexible hybrid model
• Health insurance and flexible compensation options via Cobee
• English classes
• Gympass membership
• Salary advance via Payflow

Shift Technology : 

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

The Data Science Team🤖: 

The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation.  We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.

Your key responsibilities will include🧑‍💻:

• Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
• Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions.
• Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).
• Supporting the sales team by participating in prospect demos.
• Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients.

Your profile and requirements✅: 

• You are currently enrolled as a master's degree student in either Mathematics,  Statistics, Computer Science, Machine learning and/or Big Data.
• You must be able to provide an internship agreement (convenio de prácticas) signed by your school or university for 6 months and you are able to start your internship around August 31th in Madrid. 
• You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write quality production code. An experience using C# is a plus.
• You are comfortable dealing with clients.
• Spanish is mandatory at a fluent level and you can communicate clearly in English. French is not mandatory. 

Why join Shift Technology as a Data Scientist Intern ? 

🤸‍♀️Flexibility, autonomy  and adaptability are part of our core values : We are a horizontal organization without bureaucracy (40% of staff are data scientists) but optimal and reduced line management, focus on delivery and development while having a hybrid model.

🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.  

💶Your commitment, our investment : 1800€ gross monthly gratification, high  conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.

🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)

🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.  

What is next ? 🎯

If your application and experience meet our requirements, you can expect :

• Talent Acquisition interview (30 min)
• Technical interview 1 (60 min) 
  Technical interview 2 (60 min) 
• Hiring manager interview (60 min)

The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address.