Responsibilities:

• Utilize Python programming language to clean, transform, and manipulate large datasets for analysis.

• Develop and implement statistical models, machine learning algorithms, and predictive analytics to solve complex business problems.

• Apply advanced data mining techniques and statistical analyses to identify patterns, correlations, and trends in data.

• Design, develop, and deploy machine learning models and algorithms.

• Perform exploratory data analysis, data visualization, and statistical analysis to uncover insights, patterns and trends in the data.

• Optimize and tune machine learning models for better performance.

• Evaluate and select appropriate tools and technologies for data science projects.

• Continuously monitor and evaluate the performance of models and algorithms and make necessary adjustments to ensure they remain accurate and effective.

• Design and execute ...