Data Scientist Intern

Job Description

• Experience with data visualization tools such as Power BI, Tableau, or Matplotlib.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Understanding of MLOps concepts and deployment practices.
• Experience working with large-scale datasets and data pipelines.
• Strong proficiency in Python.
• Hands-on experience with:
• Pandas
• NumPy
• Scikit-learn
• Strong understanding of:
• Supervised Learning Algorithms
• Unsupervised Learning Algorithms
• Experience with SQL for data extraction, manipulation, and analysis.
• Knowledge of model evaluation metrics including:
• RMSE
• MAE
• Precision
• Recall
• F1-Score
• ROC-AUC
• Experience with advanced machine learning frameworks such as:
• XGBoost
• LightGBM
• CatBoost
• Familiarity with Git and version control systems.

Qualifications

Skills Required

Interview Process

• Resume Screening 
• Managerial Round (Virtual)
• Team Lead Round (F2F)