Responsibilities
- Collect, clean, and organize large volumes of data from diverse sources
- Develop and implement statistical models and algorithms for analytical and predictive purposes
- Apply data visualization methods to communicate insights effectively to stakeholders
- Process both structured and unstructured data during preparation phases
- Present findings and recommend strategies to address business challenges
- Build and deploy machine learning models for use cases such as fraud detection, customer segmentation, and predictive maintenance
- Stay updated with advancements in data science and integrate relevant new techniques into practice
