• Training individuals and helping them to gain knowledge on the decided topics.
• Provide timely and accurate responses to trainees’ queries related to data science concepts, algorithms, coding, and best practices.
• Demonstrate a deep understanding of common challenges faced by learners and offer effective solutions.
• Engage in one-on-one and group mentorship sessions to address individual learning needs.
• Collaborate with the training team to enhance course materials based on recurring queries and challenges.
• Stay informed about the latest trends and updates in the data science field to ensure training materials are up-to-date.
• Write and review blog posts on topics related to data science, machine learning, and emerging trends in the industry.
• Conduct thorough assessments to understand the training needs and expectations of :Should have deep understanding on :
• Python, data analytics, data science, Machine learning, Deep Learning, NLP, Reinforcement learning, value function, CSP, Motion Analysis and object tracking, Face/ object detection, CNN, Tensor flow, Neural Network, Article spinning, latent sentiment analysis, Advanced Excel, Supervised/Unsupervised learning, SQL, Tableau, logistic/correlation/linear regression, R, Matplotlib, Pandas, Numpy, R
• Programming
• Should have exposure to R&D Activities.
• Should have a customer facing technical presentation skills
• Passion for teaching and training.
• Strong communication skills and the ability to deliver highly interactive lectures is a must have.

(ref:hirist.com)