Data Science Trainer

Data Science Trainer:

As a Data Science Trainer, you will be responsible for designing and delivering high-quality training programs to individuals and corporate clients. You will play a key role in equipping participants with the necessary skills to analyze data, build predictive models, and extract insights using the Python programming language and various data science tools and libraries.

Responsibilities:

• Develop a comprehensive training curriculum covering various aspects of data science and Python programming.
• Design engaging and interactive training materials, including presentations, exercises, and hands-on projects.
• Deliver training sessions in both classroom and virtual settings, ensuring an effective learning experience for participants.
• Adapt training content and delivery methods to meet the diverse needs and learning styles of participants.
• Provide guidance and support to participants throughout their learning journey, offering assistance with problem-solving and skill development.
• Stay up-to-date with the latest trends and developments in data science, machine learning, and Python programming, integrating relevant advancements into training programs.
• Collaborate with internal teams to identify training needs and opportunities for curriculum enhancement.
• Evaluate the effectiveness of training programs through participant feedback and performance assessments, making adjustments as necessary to improve outcomes.
• Contribute to the overall growth and success of the training department by actively participating in team meetings, brainstorming sessions, and professional development activities.

Qualifications:

• Bachelor's degree or higher in Computer Science, Data Science, Statistics, or a related field.
• Proven experience as a trainer or instructor in the field of data science programming.
• Strong proficiency in the Python programming language and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).

Job Type: Full-time

Pay: ₹15,000.00 - ₹20,000.00 per month

Schedule:

• Day shift

Experience:

• total work: 1 year (Preferred)

Work Location: In person