Junior Data Scientist

Key Responsibilities

• Write efficient and maintainable Python/SQL code for data analysis and modeling.
• Collect, clean, transform, and analyze structured and unstructured data.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Develop and evaluate basic statistical and machine learning models.
• Assist in feature engineering, model training, validation, and performance evaluation.
• Create meaningful data visualizations and dashboards to communicate findings.
• Work with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Prepare reports and presentations to communicate analytical results to technical and non-technical stakeholders.
• Monitor model and data quality and assist with troubleshooting when required.
• Stay updated with emerging data science, AI, and machine learning techniques.

Requirements & Tech Stack

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Strong knowledge of Python and SQL.
• Understanding of statistics and probability.
• Basic understanding of machine learning concepts and algorithms.
• Good problem-solving and analytical skills.
• Ability to communicate technical findings clearly.
• Strong attention to detail and willingness to learn.