Junior Data Scientist

Key Responsibilities:

• Clean and preprocess data for modelling.
• Conduct exploratory data analysis and feature engineering.
• Build and evaluate machine learning models.
• Interpret model results and communicate findings.
• Collaborate with cross-functional teams to deploy models.
• Document methodologies and maintain reproducible code.

Required Skills:

• Strong programming skills in Python or R.
• Knowledge of machine learning algorithms (regression, classification, clustering).
• Experience with libraries like Scikit-learn, TensorFlow, or PyTorch.
• Understanding of statistics and probability.
• Ability to visualize data and model outputs.

Qualifications:

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, or related field.
• Experience through coursework, internships, or personal projects.

Tools & Technologies:

• Python (NumPy, Pandas, Scikit-learn)
• Jupyter Notebooks
• SQL
• TensorFlow, PyTorch (basic)
• Git, Docker (optional)