Data Scientist Intern

What role you will play in team: You will be a vital member of our team, contributing to the development and implementation of machine learning models for music recommendation.

What you will do: You'll work closely with senior data scientists to build and improve our recommendation algorithms, using large datasets and advanced techniques.

Key responsibility:

• Develop and implement machine learning models for music recommendation.
• Analyze large datasets to identify trends and insights.
• Collaborate with engineers to deploy models into production.
• 
  Present findings and recommendations to stakeholders.
• Stay up-to-date on the latest advancements in machine learning.

Required Qualification and Skills:

• Currently pursuing a Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).
• Strong programming skills in Python or R.
• Experience with machine learning algorithms (e.g., regression, classification, clustering).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).

Benefits Included:

• Competitive internship stipend.
• Mentorship from experienced data scientists.
• Opportunities to learn and grow your skills.
• Exposure to cutting-edge technologies and projects.
• Networking opportunities.

A Day in the Life: A typical day might involve working on a specific machine learning project, analyzing data, developing and testing models, and collaborating with other team members. You'll be involved in all stages of the data science lifecycle.