Data Science Engineer(Jr)

Job Title: Data Scientist

1. Collect, clean, and analyze large datasets to identify patterns, trends, and business insights.
2. Develop machine learning models to solve business problems and improve decision-making.
3. Use Python, SQL, Pandas, NumPy, and Scikit-learn for data analysis and model development.
4. Apply statistical analysis, probability, and mathematical techniques to interpret data.
5. Build predictive models for forecasting, customer segmentation, and risk analysis.
6. Develop data visualizations and dashboards using Power BI, Tableau, or Python libraries.
7. Collaborate with business teams, data engineers, and stakeholders to understand requirements.
8. Evaluate model performance using appropriate metrics and optimize models for accuracy and reliability.
9. Work with Generative AI, Large Language Models (LLMs), and NLP techniques where applicable.
10. Deploy, monitor, and maintain machine learning models in cloud environments such as AWS, Azure, or GCP.Role & responsibilities

Preferred candidate profile