- Collect and clean data from various sources.
- Develop and implement machine learning models and algorithms.
- Conduct statistical analysis to extract insights.
- Create data visualizations and reports for decision-makers.
- Collaborate with cross-functional teams to identify data-driven solutions.
- Optimize data storage and retrieval processes.
- Stay updated with data science techniques and technologies.
- Perform data mining and predictive modeling.
- Design and conduct A/B tests for data validation.
- Communicate findings and recommendations to stakeholders.