Data Scientist Senior

📋 Description

• Design and implement ML models for forecasting, pricing, churn
• Perform EDA to identify trends and relationships
• Collaborate with stakeholders to define problems and metrics
• Build scalable ML workflows and deploy models
• Monitor model performance and retrain as needed
• Communicate insights to technical and non-technical audiences

🎯 Requirements

• Python for data analysis and ML
• Hands-on ML libraries and frameworks
• ML/statistics: supervised/unsupervised, time series, AB testing
• Production deployment of ML models
• Clean, reproducible production-grade code; Git
• SQL and data from relational databases and data lakes

🎁 Benefits

• Remote-first culture – work from anywhere
• In-company English lessons
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• Food credits via Pedidos Ya
• Birthday off + extra vacation week (Mutt Week)
• Annual Mutters' Trip