Analyze large, complex datasets to identify trends, patterns, and insights.
Develop and implement statistical models and machine learning algorithms to solve business problems.
Collaborate with cross-functional teams to understand business needs and develop data-driven solutions.
Design and execute experiments to gather data and evaluate model performance.
Clean, preprocess, and transform raw data into a suitable format for analysis.
Develop and maintain data pipelines and workflows for efficient data processing and analysis.
Communicate findings and insights to both technical and non-technical stakeholders through reports, visualizations, and presentations.
Stay updated with the latest industry trends and advancements in data science techniques and tools.
