Data Science internship - Spanish speaker (6months)

Cabify

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 Data Scientist in our team, you will: * 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 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 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. WHAT WE’RE LOOKING FOR * At least 3 years of professional experience working as a data scientist or equivalent research role. * Strong educational background, e.g Masters in Computer Science, Physics, Engineering, Mathematics, Economics, etc. * Solid foundations in Probability & Statistics. * Experience designing, training and validating statistical and machine learning models. * 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. BONUS POINTS * Experience bringing machine learning to production, with all its subtleties: deploying, training, testing, model degradation, model serving, etc. * 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: 38K - 53K€ 🌍 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!

Cabify

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!

Awin

Purpose of Position We are seeking a skilled and experienced DevOps Engineer to join our dynamic team. As a DevOps Engineer, you will play a crucial role in bridging the gap between development and operations, enabling efficient and seamless software delivery. You will be responsible for designing, implementing, and maintaining our continuous integration/continuous deployment (CI/CD) pipelines, infrastructure, and automation tools.  Join our team and contribute to building a robust and efficient software delivery ecosystem. Together, we will drive innovation, streamline processes, and deliver high-quality software solutions to our customers.   Key Tasks * Develop and maintain CI/CD pipelines: Design, build, and manage robust CI/CD pipelines to enable smooth and automated software delivery. This includes integrating and configuring various tools and technologies such as version control, build systems, testing frameworks, and deployment automation. * Infrastructure management: Build, configure, and maintain the infrastructure required for development, testing, and production environments. This includes provisioning and managing servers, networking components, cloud services, and containerization platforms. * Automation and tooling: Identify opportunities for automation and implement efficient solutions to streamline software development and deployment processes. Evaluate, select, and integrate appropriate tools and technologies to improve efficiency, scalability, and reliability. * Monitoring and troubleshooting: Set up monitoring and alerting systems to ensure optimal performance, availability, and reliability of applications and infrastructure. Proactively identify and resolve issues to minimize downtime and improve system stability. * Security and compliance: Implement security best practices and ensure compliance with industry standards and regulations. Collaborate with the security team to assess vulnerabilities, perform security audits, and address any potential risks. * Collaboration and communication: Work closely with cross-functional teams, including software developers, quality assurance engineers, and operations personnel, to facilitate effective collaboration and knowledge sharing. Communicate and coordinate deployment activities and timelines with stakeholders. * Continuous improvement: Stay up-to-date with industry trends, emerging technologies, and best practices related to DevOps and automation. Proactively identify areas for process improvement and drive initiatives to enhance efficiency, scalability, and reliability.   Skills & Expertise * Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience) * Proven experience as a DevOps Engineer or in a similar role * Strong knowledge of CI/CD concepts and tools (e.g., Jenkins, GitLab, Travis CI) * Proficiency in scripting and automation using languages such as Python, Bash, or PowerShell * Experience with configuration management and infrastructure as code tools (e.g., Ansible, Chef, Puppet, Terraform) * Familiarity with containerization technologies and orchestration frameworks (e.g., Docker, Kubernetes) * Solid understanding of cloud platforms and services (e.g., AWS, Azure, Google Cloud) * Knowledge of monitoring and log management tools (e.g., Prometheus, ELK Stack) * Strong problem-solving skills and the ability to troubleshoot complex issues * Excellent communication and collaboration skills to work effectively in a team-oriented environment     Our Offer * Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance. * Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility. * Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home. * Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing. * Development: We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development. * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme. We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview.   Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.   Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.