Junior Data Scientist

What role you will play in team: Contribute to the development and implementation of machine learning models for customer churn prediction.

What you will do: You'll work with a team to build, train, and deploy machine learning models that improve customer retention.

Key responsibility:

• Collect, clean, and preprocess data for model training.
• Develop and implement machine learning models using Python.
• Evaluate model performance and identify areas for improvement.
• Collaborate with other data scientists and engineers.
• Document your work and share findings with stakeholders.

Required Qualification and Skills:

• Bachelor's degree in a quantitative field (e.g., statistics, mathematics, computer science).
• Proficiency in Python and relevant libraries (e.g., scikit-learn, pandas, NumPy).
• Basic understanding of machine learning algorithms.
• Strong analytical and problem-solving abilities.
• Excellent communication skills.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional development.
• Mentorship program.
• Work from home flexibility.

A Day in the Life: Your day will involve data wrangling, model building, and collaboration with team members to improve the accuracy of customer churn predictions.