Job Description: Data Science Trainer in EdTech

Location: Coimbatore

Position Overview:

As a Data Science Trainer in EdTech, you will be at the forefront of empowering learners with the knowledge and skills essential for success in the dynamic field of data science. Your role will involve creating and delivering engaging and comprehensive training programs that cover a wide range of data science concepts, techniques, and tools. Through innovative educational methods, you will inspire and guide learners to become proficient in data analysis, machine learning, and data-driven decision-making.

Key Responsibilities:

1. Curriculum Development:

• Design and develop data science training curriculum, courses, and learning materials that cater to learners with varying levels of expertise and objectives.
• Stay updated on the latest advancements in data science, machine learning, and artificial intelligence to incorporate relevant and cutting-edge content into the curriculum.

1. Content Delivery:

• Deliver engaging and interactive data science training sessions through virtual classrooms, webinars, video lectures, and hands-on projects.
• Utilize a variety of teaching methodologies, including problem-based learning, case studies, and practical exercises, to enhance learner comprehension and retention.

1. Skill Assessment:

• Develop and administer assessments, quizzes, and projects to evaluate learners' proficiency in data science concepts, algorithms, and techniques.
• Provide constructive feedback and guidance to learners to help them improve their analytical skills, coding abilities, and data interpretation capabilities.

1. Technology Integration:

• Leverage educational technologies and platforms to enhance the delivery and effectiveness of data science training, such as interactive coding environments, data visualization tools, and collaborative project management platforms.
• Collaborate with the technology team to identify and implement innovative solutions for creating immersive and engaging learning experiences.

1. Industry Engagement:

• Cultivate partnerships and collaborations with industry professionals, data scientists, and organizations to stay abreast of industry trends, best practices, and real-world applications.
• Organize guest lectures, workshops, and networking events to provide learners with insights into the practical applications of data science in various domains.

1. Continuous Improvement:

• Gather feedback from learners, instructors, and stakeholders to continuously refine and enhance the data science training curriculum, content, and delivery methods.
• Conduct regular evaluations and assessments of training programs' effectiveness and make data-driven recommendations for improvement and innovation.

Qualifications and Skills:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Proven experience in data science, including proficiency in statistical analysis, machine learning algorithms, programming languages (such as Python or R), and data manipulation techniques.
• Experience in instructional design and curriculum development, with the ability to create engaging and effective training content for diverse learner audiences.
• Strong communication and presentation skills, with the ability to explain complex data science concepts in a clear and understandable manner.
• Familiarity with educational technologies, learning management systems (LMS), and online collaboration tools for delivering virtual training sessions.
• Passion for teaching and mentoring, with a commitment to fostering a supportive and inclusive learning environment.
• Ability to work collaboratively in a dynamic team environment and adapt to evolving educational trends and technologies.