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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Champ Cargosystems - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Continuous Integration, Data Cleansing, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Oracle (Applications), Standard Sql, Feature Engineering, Model Validation, Information Technology, Xgboost, Performance Monitor, Machine Learning Operations, Software Version Control - **Published:** July 29, 2026 - **Apply:** https://www.jobleads.com/es/job/e214e2148fa6fb2dc90c467c35789fe5b ## About the Role * Strong proficiency in Python and machine learning, with the ability to design, train, validate, deploy, and maintain models for real business use cases. * Product mindset, with the ability to understand customer needs, business value, product impact, and how AI and ML capabilities can be translated into practical product features. * Strong analytical skills and data-driven decision-making, with the ability to interpret data, challenge assumptions, measure outcomes, and recommend actions based on evidence. * Good understanding of data preparation, feature engineering, model evaluation, explainability, and performance monitoring. * Experience with predictive modelling techniques, including XGBoost and other relevant algorithms, with the ability to fine-tune models to improve accuracy, robustness, and business relevance. * Experience working with SQL and databases such as PostgreSQL, Oracle, MongoDB, or similar technologies to prepare reliable ML-ready datasets. * Practical knowledge of MLOps and product integration, including APIs, version control, testing, CI/CD, model deployment, monitoring, and documentation. * Ability to use AI tools effectively to accelerate development, research, prototyping, documentation, troubleshooting, and continuous learning while applying sound engineering judgement., * Degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Advanced degrees preferred. * Experience: Proven experience in data science, machine learning, and statistical analysis. * Minimum of 3 years' experience in ML development. * A plus: prior experience in a startup. The selected candidate may be subject to the provision of an up-to-date (not older than 3 months) criminal record certificate. ## Description * Translate functional requirements into machine learning deliverables * Create and maintain datasets and models over time * Be able to prototype solutions. * Be a team player, collaborate with both external and internal parties to develop and support CHAMP's activities. * Actively explore new technological opportunities. * Listen to our clients, contribute to driving evolutions and improvements of our solutions. * Liaise with the BI team to get the datasets created, fed and maintained to ensure the proper functioning of the machine learning models * Support the development of new data products. * Provide expertise for, advice on and demonstrations of our ML solutions to both internal and external parties. * Deliver working solutions on time, on cost, and on specifications. * Ethics and Privacy: ensure ethical use of data and models by Implementing privacy-preserving techniques and comply with data protection regulations. * Documentation and Reporting: Document processes, methodologies, and project outcomes comprehensively. ## Related Videos - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)