AI Data Scientist

Collect, clean, process, and analyze structured and unstructured data.

Develop and implement machine learning and AI models.

Build predictive and statistical models to solve business problems.

Perform exploratory data analysis and identify meaningful patterns and trends.

Engineer relevant features to improve model performance.

Train, validate, test, and optimize machine learning models.

Apply techniques such as regression, classification, clustering, and deep learning.

Work with large datasets using SQL, Python, and data-processing tools.

Evaluate model accuracy, performance, and reliability.

Deploy AI and machine learning models into production environments in collaboration with engineering teams.

Create dashboards, visualizations, and reports to communicate insights.

Monitor deployed models and recommend improvements when required.

Collaborate with software engineers, data engineers, business teams, and stakeholders.

Research emerging AI and data science technologies and identify opportunities for their application.

Maintain documentation of datasets, models, experiments, and analytical processes.