Data Scientist

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.
• Flexible remuneration plan.