Data Science Trainer
6 months ago
Responsibilities:
- Training IT and Non IT Graduate in-demand skills like Data analysis, Machine Learning, Deep learning and Data visualization.
- Delivering and creating content for online/offline data science training
- Develop cutting edge and innovative content for classes to help facilitate delivery of classes in an interesting way.
- Continuously improve the delivery experience to ensure that experience of students is world class.
*Strong communication skills and ability to delivery highly interactive lectures is a must.
- Inspire students to persevere through the challenges of learning a new suite of skills
- Continuously learn new skills and evangelize them with in our community.
- Defining and leading our strategy in making data science easy and accessible to all.
**Requirements**:
- Should have minimum of 5+years of technical training experience.
- Should have strong command over any programming language
- Python,
- Should ideally be conversant with Machine Learning, Deep learning, Data visualization and Artificial Intelligence concepts.
- Should have a knowledge on Data types, operators, F-strings, Conditional & Control flows, Loops and Iterators, Functions, Arrays, String manipulation, Lists, Tuples and Dictionaries, Errors Handling and Python Handling.
- Passion for teaching and training is a must.
*Strong communication skills and ability to delivery highly interactive lectures is a must.
- Inspire students to persevere through the challenges of learning a new suite of skills
- Continuously learn new skills and evangelize them with in our community.
- Defining and leading our strategy in making data science easy and accessible to all.
Mandatory Skills:
*Excellent Communication
*Pleasing personality
*Good Presentation skills
*Ability to hold the audience
*Optional Self Motivated and energetic
**Benefits**:
- Work from home
Schedule:
- Day shift
Supplemental pay types:
- Performance bonus
**Education**:
- Bachelor's (required)
**Experience**:
- total work: 7 years (required)
Work Location: In person
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