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