Responsibilities:
- Collect, clean, and analyze datasets to identify trends and insights.
- Build predictive models using Python, R, or SQL.
- Create data visualizations and dashboards.
- Assist in deploying machine learning models into production.
Qualifications:
- Pursuing a degree in Data Science, Statistics, Computer Science, or related.
- Strong skills in Python or R, with experience in Pandas/NumPy.
- Knowledge of SQL and databases.
- Familiarity with machine learning frameworks (scikit-learn, TensorFlow, PyTorch a plus).
What you will gain:
- Gain global exposure and experience by working with international teams
- Mentorship from experienced team members
- Opportunity to contribute to live projects
- Flexible remote work experience
- Certificate of completion or reference letter upon successful performance
