Recommend

Data Scientist

• Aggregate and process structured and unstructured data from multiple sources (APIs, databases, CSVs, etc.)
• Clean, transform, and analyze datasets for actionable insights
• Apply clustering techniques and segmentation (e.g., K-Means, DBSCAN, hierarchical clustering)
• Build and evaluate data models for internal tools and business needs
• Communicate findings through clear visualizations and concise summaries
• Collaborate closely with developers, product managers, and business stakeholders