Data Science Trainer
Summary
Teach data science topics like Python, SQL, and machine learning in classroom or online sessions, create course materials, and mentor students on real-world projects.
Deliver engaging classroom and/or online training sessions on topics including:
Python for Data Science
Data Analytics using Excel and SQL
Statistics and Probability
Machine Learning and Deep Learning
Data Visualization using Power BI / Tableau
Create and update course materials, projects, assignments, and quizzes.
Provide hands-on training and real-world project guidance.
Evaluate student performance, provide constructive feedback, and track progress.
Stay updated with the latest trends, tools, and technologies in Data Science.
Mentor students during capstone projects and industry case studies.
Coordinate with the academic and operations team for batch planning and feedback.
Assist with the development of new courses and curriculum as needed.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.).
Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras.
Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn.
Strong communication, presentation, and mentoring skills.
Prior teaching/training experience is a strong advantage.
Certification in Data Science or Machine Learning (preferred but not mandatory).