What you'll do- Design, develop, and validate machine learning models through iterative experimentation and PoC cycles.- Work directly with customers and stakeholders to understand business problems, define use cases, KPIs, and success criteria.- Develop forecasting, predictive, and analytical models, with strong focus on time series use cases.- Collaborate closely with Product Owners, Data Engineers, Data Analysts, and MLOps Engineers to deliver AI and ML solutions efficiently.- Perform feature engineering, model validation, and model performance analysis.- Build demo-ready PoCs and visualizations to communicate results and insights to stakeholders.- Track experiments, metrics, and model evolution using MLflow.- Work with analytical datasets and contribute to the definition of datasets and features for ML use cases.- Contribute to technical standards, best practices, and AI/ML solution design.What we're looking for- 4+ years of experience as a Data Scientist, ML Engineer, or similar role focused on analytical and ML solutions.- Degree in Data Science,



Computer Science, Mathematics, Statistics, Engineering, or a related field.- Strong background in machine learning.- Experience managing ML experimentation cycles, model lifecycle, and production model maintenance, using tools such as MLflow or similar.- Proficiency in Python and experience working with SQL.- Experience working with analytical databases and large datasets.- Familiarity with orchestration tools such as Apache Airflow and notebook-based experimentation workflows.- Strong English communication skills, both written and spoken.- Analytical mindset, fast learner, collaborative attitude, and customer-oriented approach.- Experience working in Agile environments.Our offer- Permanent role.- Hybrid working model (3 days of remote work/week).- Flexible working hours.- 30 business days of annual leave.- Adaptable remuneration plan.#J-18808-Ljbffr

📌 Data Scientist (Madrid)
🏢 Tamarind Intelligence
📍 Madrid