Analyze structured and unstructured data to discover patterns and trends.
Design and implement statistical models and machine learning algorithms using Python and R.
Develop and maintain data pipelines and ensure data quality and integrity.
Create insightful visualizations and reports for business stakeholders.
Collaborate with data engineers, analysts, and domain experts to define requirements and deliver solutions.
Communicate complex data findings in a clear and actionable manner.
Conduct A/B testing, hypothesis testing, and other experimental designs as needed.
Stay up to date with emerging data science tools and best practices.
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