Data Science Trainer (Full-Time & Part-Time)
Location: Bengaluru
Salary: Based on Experience and Industry Standard
Experience: 5 to 15 years
Education: Graduation, Masters, PHD
Work Mode: Onsite (Monday to Friday)
Job Description:
We are seeking an enthusiastic and experienced Data Science Trainer to join our team. The ideal candidate will have strong expertise in Python, SQL, Machine Learning, Deep Learning and Tableau, with a proven track record of delivering engaging and insightful training. University-level teaching experience is essential for this role.
Key Responsibilities:
- Design and deliver comprehensive training modules in Python, SQL, Machine Learning, Deep Learning and Tableau.
- Develop curriculum and instructional materials to meet learner needs, ensuring up-to-date knowledge in data science and analytics.
- Conduct hands-on workshops, live projects, and assignments to provide practical knowledge to students.
- Deliver training at the university level and in professional settings, tailoring content to diverse learner groups.
- Monitor and evaluate the progress of trainees through assessments and feedback sessions.
- Stay updated with the latest industry trends and technologies, continuously upgrading course materials.
- Provide mentorship and guidance to students, helping them build their careers in data science.
Required Skills and Qualifications:
- Strong Proficiency in Python, SQL, Machine Learning algorithms, and Tableau.
- University-level teaching experience in data science or related fields.
- Experience in delivering training or workshops in data science-related subjects.
- Excellent communication skills with the ability to simplify complex topics.
- Strong understanding of data analysis and data visualization techniques.
- Ability to design interactive and engaging training sessions for various learner levels.
- At least 5 years of teaching or professional experience in data science.
Preferred Qualifications:
- Bachelor’s, Master’s degree or Certificate in Data Science, or related fields.
- Industry certifications in data science, machine learning, or analytics tools (optional but preferred).
- Previous experience in corporate or academic training environments.
