Job Summary:

We are seeking a Junior Python Programmer to support research and academic projects by developing data-driven solutions, automating research processes, and assisting in data analysis. The ideal candidate has a strong foundation in Python programming and an interest in academic research, data science, and machine learning.

Key Responsibilities:

• Develop and maintain Python scripts to support research projects and PhD scholars.
• Assist in automating data collection, preprocessing, and analysis using Python libraries.
• Work with large datasets, including text, numerical, and structured/unstructured data.
• Implement statistical models, data visualization techniques, and machine learning algorithms.
• Develop research-based applications and tools to enhance academic productivity.
• Collaborate with researchers, domain experts, and senior developers to meet project requirements.
• Assist in writing and optimizing research code for efficiency and accuracy.
• Ensure code quality through testing, debugging, and version control (Git).

Required Skills & Qualifications:

• Bachelor's/Master's degree in Computer Science, Data Science, or a related field.
• Proficiency in Python and knowledge of libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
• Basic understanding of machine learning, natural language processing (NLP), and data mining.
• Experience with databases (SQL/NoSQL) and working with large datasets.
• Knowledge of web scraping, API integration, and automation tools is a plus.
• Familiarity with research methodologies and scientific computing tools.
• Strong problem-solving skills and ability to work independently or in a team.

Preferred Qualifications:

• Experience in academic or research-based projects.
• Familiarity with LaTeX, Jupyter Notebook, or research paper writing tools.

Benefits:

• Opportunity to work on innovative research projects.
• Mentorship from senior researchers and domain experts.
• Training in advanced research tools and methodologies.
• Competitive salary and flexible work options.