Junior Data Scientist

**Educational Background:** Master’s degree in Data Science, Physics, Mathematics, Computer Science, or a related quantitative field. **Experience:** One or more relevant internships in data science, machine learning, or AI-related fields. **Technical Skills:** - Solid programming skills in **Python**, including experience with data manipulation and analysis libraries (e.g., pandas, NumPy). - Hands-on experience developing **machine learning models**, either in academic projects or through internships, using libraries such as **Scikit-learn**, **TensorFlow**, or **PyTorch**. - Familiar with **version control tools**. - Good understanding of **statistical analysis techniques**, including **hypothesis testing**, **anomaly detection**, and **data modeling**. - Proficient in creating **data visualizations** using tools such as matplotlib, seaborn, or dashboards to communicate insights effectively. - Basic understanding of **LLM architectures** (e.g., Transformer-based models) and experience experimenting with **LLM APIs** (such as OpenAI or Hugging Face) is a **strong plus**. **Soft Skills:** - Eagerness to learn and grow in a fast-paced environment. - Good communication skills and team spirit. - Analytical and problem-solving mindset. - Ability to take initiative and manage time effectively.