Data Scientist & ML developer

Key Responsibilities

Data Collection & Analysis

• Gather and analyze data from diverse source systems (databases, spreadsheets, etc.).
• Ensure data is clean, accurate, complete, and ready for prediction tasks.
• Analyze datasets to uncover patterns, correlations, anomalies, and business insights.

Model Development & Deployment

• Design and develop ML models (supervised, unsupervised, reinforcement learning, etc.) based on business requirements (e.g., customer recommendations).
• Train, test, and validate models using real-world data.
• Deploy machine learning models into production environments and monitor their performance.

Visualization & Communication

• Present insights and outcomes using charts, graphs, dashboards (e.g., Matplotlib).
• Collaborate with customers and local teams to understand problems, define requirements, and communicate results effectively.

Technical Exe...