Data Scientist (AI Specialization)

✔️ Analyze and interpret complex datasets to build predictive, prescriptive, and automated insights.

✔️ Apply advanced ML techniques such as NLP, LLM fine-tuning, deep learning, and computer vision.

✔️ Build statistical models and AI-driven solutions to solve business challenges.

✔️ Perform exploratory data analysis (EDA) using Python, R, or SQL.

✔️ Develop prototypes and proof-of-concept AI models.

✔️ Work with business leaders to define data-driven strategies and KPIs.

✔️ Research bleeding-edge AI trends and evaluate opportunities for adoption.

✔️ Build and maintain datasets required for training and inference.

✔️ Visualize insights through dashboards and storytelling tools.

✔️ Implement feature engineering, data transformations, and ML enhancements.

✔️ Validate model accuracy using cross-validation and advanced metrics.

✔️ Document methodologies, findings, and recommendations.

✔️ Present insights to leadership in a clear and data-driven manner.

✔️ Work closely with ML Engineers to productize models.

✔️ Ensure AI models follow ethical and regulatory standards.

✔️ Develop predictive analytics for forecasting, churn analysis, and segmentation.

✔️ Participate in continuous improvement of AI frameworks.

✔️ Conduct statistical experiments and hypothesis testing.

✔️ Mentor analysts and junior scientists on AI and ML concepts.

✔️ Support strategic planning for long-term AI roadmap initiatives.