Data Science Trainer

Key responsibilities

Teach Python, SQL, statistics, data cleaning, visualization, and machine learning fundamentals
Lead practical labs and end-to-end projects using real-world datasets
Assess learner work and provide clear technical and career-focused feedback
Maintain relevant course materials, exercises, and assessment rubrics
Requirements

Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
Practical experience with Python, SQL, pandas, data visualization, and machine learning libraries
Ability to explain statistical and technical concepts clearly to learners
Training, mentoring, or facilitation experience is an advantage
A portfolio of data analysis, visualization, or machine learning projects