NSight-Junior Data Scientist

Job Description : Junior Data Scientist

Summary

The Junior Data Scientist will support data-driven decision-making by collecting, cleaning, and analyzing datasets under the mentorship of senior team members. They will assist in developing and evaluating machine learning models, performing statistical analyses, and creating visualizations to communicate insights to stakeholders. This role is ideal for someone with 2–3 years of hands-on experience in Python programming and foundational AI research, eager to grow their skills within a collaborative data science environment.

Key Responsibilities

• Gather, clean, and preprocess large datasets, handling missing values and outliers to ensure data quality.
• Extract and engineer features from raw data to improve model performance, working closely with senior data scientists to identify relevant variables.
• Assist in implementing, testing, and tuning machine learning algorithms (e.g., regression, classification, clustering) using Python libraries such as scikit-learn and TensorFlow.
• Perform hypothesis testing, A / B experiments, and exploratory data analysis to uncover trends and inform business strategies.
• Create clear, impactful visualizations and reports using tools like Matplotlib, Seaborn, or Tableau to communicate findings to both technical and non-technical audiences.
• Work collaboratively within agile teams, document methodologies in reproducible notebooks, and participate in code reviews to maintain high standards.

Required Qualifications

Education

Preferred Skills