DATA SCIENTIST

We're building a technology hub with the mission to transform smart cities into more livable environments. As part of this vision, you’ll play a key role in optimizing a water monitoring platform, directly contributing to a healthier, more sustainable future.Join our Data & AI team to drive impactful AI projects focused on advanced optimization and time series analysis. You will:Develop and Implement AI Models: Design machine learning models (supervised, unsupervised, and reinforcement learning) tailored to solve key business challenges.Data Processing and Transformation: Collect and process diverse data from various sources, transform it as needed, and store it in the optimal format (structured, unstructured, graph) for extracting valuable insights.Monitoring and Evaluation Tools: Develop tools to monitor and evaluate machine learning models for performance and continuous improvement.Documentation for Sustainability: Document methodologies, workflows, and results to ensure reproducibility and knowledge continuity.Community Engagement: Participate in and potentially lead Data & AI events or webinars, contributing to knowledge-sharing communities within the organization.Engage with Stakeholders: Present in-progress applications to business users to gather insights, refine approaches, and ensure alignment with organizational goals. Key Responsibilities:Automation on Azure: Design, develop, and implement automation solutions for data operation tasks on the Azure platform.Large-Scale Data Modeling: Use Azure Machine Learning to integrate, analyze, and model extensive datasets.DevOps Integration: Apply DevOps tools such as Git and Azure DevOps for source control, versioning, and deployment of models and applications.Pipeline Development: Build and maintain AI model pipelines for seamless, continuous, and reliable production deployment.Innovation and Exploration: Stay informed on the latest trends and innovations in data science and AI, bringing forward relevant advancements to enhance our projects.Continuous Learning: Actively engage in the latest techniques in machine learning, optimization, and constraints, ensuring we stay at the forefront of AI developments.Development Environment: Azure cloud, using our internal CoDai platform. Your Profile:With a relevant engineering degree or a BAC+5 in a technical field (computer science, statistics, mathematics), you bring:At least 3 years of experience in deploying data processing pipelines and artificial intelligence models.Technical Skills:- Strong expertise in Azure Machine Learning for large-scale data processing.- Solid knowledge of statistical models and machine learning, both supervised and unsupervised.- Proficiency in deep learning techniques and related libraries.- Good understanding of DevOps practices and experience with Git for version control and deployment processes.- Proficiency with programming tools like Python or R, and data science frameworks such as TensorFlow, PyTorch, scikit-learn, and Azure Machine Learning; experience with other cloud platforms (GCP, AWS) is beneficial.Why Capitole? 🙌We are great, but with you, we will be even greater 😊. That is why you will have:- 📚 Individual training budget of €1200 (languages, books, certifications)- 🔄 Flexible working hours- 🥗 Flexible remuneration package- 🏀 Great discounts at sports centers (AndJoy)- 👨‍⚕️ Free private health insurance- 📈 Monthly follow-ups with your team to have continuous feedback- 🍻 Team Buildings every two months. You can't miss the Pool Party💧 and our Christmas dinner🎄- 🛍️ Discounts in international brands for employees (Club Capitole)- You will have the opportunity to meet the whole family through our Technology communities, to share your knowledge and ideas. Knowledge exchange is key to us!Do not know us yet? Discover more here https://capitole-consulting.com/And have a look to how others think we are 👀 https://www.glassdoor.es/Opiniones/Capitole-Consulting-Opiniones-E2060890.htmlWe are excited to meet you! 😎The employee will adhere to information security policies:- You will have access to confidential information about Capitole and the project you are working on.- You will need to comply with security policies and the internal policies of the company and the client.- You will be required to sign an NDA.