Data Science Trainer

Who are we? INSAID is a fast growing TechEd company based out of Gurgaon. The company caters to close to 1000 working professionals and is helping them upskill in the space of AI and Data Science. At INSAID, we are continuously scouting for the best talent in the Industry to fulfill various roles to help serve our customers better. Job Brief: We are looking for a Data Science Faculty to lead a technical team and help us build a great platform where individuals can learn and upskill in Data Science with ease. Data Science Faculty’s responsibilities include managing the data science team of researchers, planning curriculum, upgrades and building analytics case studies. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our curriculum with our business goals, we’d like to meet you. Your ultimate goal will be to improve our courses, customer experience, build materials & case studies that can be leveraged in regular sessions as well as in marketing events. Your responsibilities will include: Keeping updated with the latest developments in AI and Data Science. Guiding the team to build great content on AI & DS. Delivering sessions of Data Science for INSAID cohorts. Building real world practical case studies for various algorithms in Machine Learning and Deep Learning. Revisiting and updating curriculum periodically to ensure updated and comprehensive materials delivered to customers. What you need? Proven experience as a Data Science Instructor or similar role. Should have at least 5+ years of technical/product experience. With min. 3 yrs of technical training/teaching. Solid understanding of machine learning and Data Mining. Knowledge of data management and visualization techniques. A knack for statistical analysis and predictive modeling. Good knowledge of R and Python. Experience with SQL and NoSQL databases. Strong organizational and leadership skills. Excellent communication skills. Degree in Computer Science, Data Science, Mathematics or similar field.