Data Science Trainer

Role & responsibilities

• Conduct classroom and online training sessions on core and advanced Data Science topics. • Design, develop, and update training modules, labs, and real-world case studies aligned with industry standards. • Teach and mentor learners in: o Python Programming, SQL & Statistics o Data Analysis & Visualization (NumPy, Pandas, Matplotlib, Seaborn, Power BI/Tableau) o Machine Learning & Deep Learning (TensorFlow/PyTorch) o Natural Language Processing (NLP) o Big Data Concepts (Hadoop, Spark) o Cloud-based ML (AWS/GCP/Azur preferred) • Guide students through capstone projects, hackathons, and real-world problemsolving exercises. • Conduct assessments, clarify doubts, and provide career guidance. • Mentor students for interviews and industry readiness.

Preferred candidate profile

• 13 years of proven industry experience in Data Science / AI / ML projects. •Bachelor'ss / Masters degree in Computer Science, Data Science, Statistics, or related field. • Strong expertise in: o Python, SQL, and Machine Learning algorithms o AI frameworks (TensorFlow, PyTorch) o Data visualization & model deployment o Cloud platforms (AWS, GCP, Azure – preferred) • Prior training/mentoring experience is highly desirable. • Excellent communication, presentation, and classroom management skills.