Junior Data Scientist

What role you will play in team: You will be a part of a dynamic team, working on cutting-edge projects using machine learning algorithms. You'll collaborate closely with senior data scientists, contributing to the development and implementation of machine learning models.

What you will do: You'll be involved in all stages of the machine learning lifecycle, from data cleaning and preprocessing to model deployment and monitoring. Expect to work with large datasets and utilize various machine learning techniques.

Key responsibility:

• Develop and implement machine learning models using Python and related libraries.
• Perform data analysis and visualization using tools like Tableau or Power BI.
• Cleanse and preprocess large datasets to ensure data quality.
• Collaborate with engineers to deploy models into production environments.
• Monitor model performance and make necessary adjustments.
• Contribute to the development of innovative machine learning solutions.

Required Qualification and Skills:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in Python programming language, including libraries like scikit-learn, pandas, and NumPy.
• Experience with machine learning algorithms (regression, classification, clustering).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and advancement.
• Collaborative and supportive work environment.
• Health insurance and other employee benefits.
• Paid time off and vacation.

A Day in the Life: A typical day might involve data preprocessing, model training, performance evaluation, and collaboration with team members. You will be actively involved in problem-solving and contributing to the improvement of our machine learning systems.