to train and mentor students in data science fundamentals, advanced techniques, and practical applications. The ideal candidate should be able to deliver engaging, hands-on sessions and guide learners in solving real-world problems, preparing them for careers in analytics, AI/ML, and data-driven decision-making.
Key Responsibilities:
Deliver training on
Python for Data Science, Statistics, Machine Learning, Deep Learning, and NLP
.
Teach data preprocessing, feature engineering, and model development.
Conduct live coding sessions and projects using real-world datasets.
Guide learners on tools & platforms like
Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, Matplotlib, Power BI/Tableau, SQL
.
Mentor students on end-to-end projects such as predictive modeling, NLP (text classification, sentiment analysis, transformers), computer vision, and business analytics.
Provide guidance on time complexity, optimization techniques, and industry best practices.
Prepare learners for technical interviews and job readiness in
Data Science, AI, and Machine Learning
roles.
Evaluate student progress through quizzes, coding assignments, and project reviews.
Stay updated with the latest advancements in
AI, Deep Learning, and Natural Language Processing
.
Required Skills & Qualifications:
Strong proficiency in
Python programming
and Data Science libraries.
Solid foundation in
Statistics, Probability, and Linear Algebra
.
Expertise in
Machine Learning algorithms
and real-world problem solving.
Hands-on experience in
Deep Learning (TensorFlow/PyTorch/Keras)
and
NLP techniques (text mining, transformers, LLMs)
.
Experience with
SQL, Power BI/Tableau
for data visualization and analytics.
Excellent communication and teaching skills with the ability to simplify complex topics.
Prior experience as a trainer/mentor in data science bootcamps, edtech, or academia is highly desirable.
Bachelor's/Master's in Computer Science, Data Science, Statistics, AI, or related field (or equivalent industry experience).
Job Types: Full-time, Freelance
Contract length: 12 months