Data Science Trainer
Skills
About the role
Roles & Responsibilities:
Conducting classroom or online lectures on Data Science, Machine Learning, Deep Learning, AI, SQL, Python, and related technologies.
Assigning and evaluating practical exercises, projects, and data-driven case studies.
Guiding students one-on-one with coding support, doubt-solving, and project mentoring.
Ensuring that the course curriculum is updated, practical, and aligned with current industry needs.
Collaborating with other trainers and content developers to create and improve training materials.
Maintaining accurate records of student performance, attendance, and progress reports.
Creating a positive, engaging, and hands-on learning environment for students.
Participating in faculty meetings, workshops, and continuous professional development activities.
Keeping up-to-date with the latest advancements in Data Science tools, frameworks, and technologies.
Job Qualification & Skill Sets:
A Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
Minimum 1 year of experience as a Data Science Trainer
Strong knowledge of Python programming, data analysis libraries and data visualization tools
Proficiency in SQL for data extraction, manipulation, and analysis.
Familiarity with AI concepts, NLP, computer vision, and data preprocessing techniques.
Excellent communication, presentation, and mentoring skills.
A passion for teaching and empowering students to build strong careers in Data Science.
Ability to work independently as well as collaboratively within a team.
Work Location: In person
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