Data Analysis and Processing
- Collect, clean, and prepare data from various sources (SQL databases, APIs, files, cloud).
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Optimize data storage for cost and performance efficiency.

AI/ML Solution Implementation and Monitoring
- Build and train machine learning models to solve business problems (e.g., classification, regression, forecasting, NLP).
- Monitor the performance of deployed models and update them when quality drops.
- Create alert systems for data or model drift.
Collaboration
- Work closely with business teams to understand their needs and translate them into analytical/technical requirements.
- Present analysis results and recommendations in a way that is clear for non-technical stakeholders.
Visualization and Reporting
- Build dashboards in BI tools (e.g., Power BI, Tableau, Qlik).
- Create analytical reports and technical documentation.

AI Data Scientist

Job Description