We are seeking a Junior Data Scientist to join our analytics team and support data-driven decision-making through analysis, modeling, and reporting. This entry-level role is ideal for someone with strong analytical skills, a solid foundation in statistics and programming, and a desire to grow in machine learning and data-driven problem solving.

• Assist in gathering, cleaning, and validating data from multiple sources
• Perform exploratory data analysis to identify trends, patterns, and anomalies
• Build and test statistical and machine learning models under supervision
• Support the development of dashboards, reports, and data visualizations
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
• Document methods, assumptions, and results clearly for technical and non-technical audiences
• Help monitor model performance and data quality over time
• Work with senior team members on ad hoc analysis and special projects

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field
• Strong foundation in statistics, probability, and data analysis
• Proficiency in Python
• Familiarity with SQL and relational databases
• Experience with data visualization tools such as Tableau, Power BI, or similar
• Knowledge of Git and version control workflows
• Experience using AI code assistants such as Claude Code or Codex
• Strong problem-solving, communication, and teamwork skills
• Ability to manage multiple tasks and learn quickly in a fast-paced environment

• Internship or project experience in data science, analytics, or machine learning
• Exposure to machine learning libraries such as scikit-learn, XGBoost, etc.
• Experience working with cloud platforms or big data tools
• Understanding of business metrics and how data supports decision-making