Data Science Trainer

• Develop and deliver curriculum for data science training programs.

• Conduct classroom and online training sessions covering various data science topics.

• Create and update training materials, including presentations, exercises, and assessments.

• Provide mentorship and guidance to students, helping them apply concepts in real-world scenarios.

• Assess and monitor student progress, offering feedback and support as needed.

• Stay up-to-date with industry trends and incorporate new tools, techniques, and methodologies into training.

• Strong knowledge of data science:
  Proficient in Python/R, SQL, machine learning algorithms, data visualization tools, and statistical analysis.

• Experience in teaching or training:
  Prior experience in an instructional or training role, preferably in a data science context.

• Communication skills:
  Excellent verbal and written communication skills, with the ability to explain complex concepts clearly.

• Hands-on experience:
  Practical experience in data science projects, with a strong portfolio of work to demonstrate expertise.

• Problem-solving skills:
  Ability to think critically and help students troubleshoot issues during practical exercises.

• Adaptability:
  Ability to adjust teaching methods to suit diverse learning styles and needs.

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field.

Certifications :

Relevant certifications in data science or related areas.

Industry Experience:

Professional experience in a data science role is a plus.