Junior Data Scientist

What role you will play in team: You will be a part of a dynamic team focused on developing and implementing machine learning models for fraud detection.

What you will do: You will work on cleaning, preprocessing and analyzing large datasets. You will also be involved in model building and evaluation.

Key responsibility:

• Develop and implement machine learning models for fraud detection.
• Clean, preprocess, and analyze large datasets.
• Build and evaluate machine learning models.
• Deploy models into production.
• Collaborate with other data scientists and engineers.
• Present findings to stakeholders.

Required Qualification and Skills:

• Bachelor's degree in computer science, statistics, or a related field.
• Experience with Python or R.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong analytical and problem-solving skills.
• Excellent communication skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development.
• Friendly and collaborative work environment.
• Work from home flexibility

A Day in the Life: A typical day involves working on data cleaning, feature engineering, model training, and evaluation. You will also collaborate with other data scientists and engineers.