Data Science Trainer

• 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).