Data Science Trainer
9 hours ago
**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).
Pay: ₹15,000.00 - ₹20,000.00 per month
Schedule:
- Day shift
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
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