We are looking for a Junior Data Scientist to join our team. As a junior data scientist, you will learn by working alongside experienced data scientists on real production systems that serve global clients. You will be responsible for exploring and preparing datasets, training and evaluating ML models, and writing and maintaining Python code that runs in production.
Requirements
- A degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, or similar) or equivalent practical experience.
- Solid understanding of ML fundamentals: supervised vs. unsupervised learning, overfitting, evaluation metrics, and basic model selection.
- Working knowledge of Python — you can write functions, use libraries, debug errors, and read other people's code.
- Familiarity with core data science libraries (pandas, NumPy, scikit-learn).
- Some project experience with ML — academic projects, personal projects, internships, or competition entries all count.
- Curiosity and initiative — you read papers, follow releases, tinker with new tools, and ask good questions.
- Clear communication — you can explain what you did, why, and what you learned from it.
Benefits
- Benefits healthcare
- Truly flexible working hours
- Generous Leave
- Impactful projects
- People oriented culture
- Transparent and open culture
- Development
Originally posted on Himalayas