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Technical Trainer
2 weeks ago
Job Description:Responsibilities:
- Develop and deliver comprehensive training programs in data science, covering both theoretical and practical aspects.
- Conduct classroom and online training sessions, workshops, and hands-on labs to teach data science concepts and techniques.
- Prepare and update training materials, including presentations, exercises, and assessments.
- Design and update curriculum to reflect the latest trends and advancements in data science and machine learning.
- Ensure the curriculum aligns with industry standards and meets the learning needs of students.
- Provide guidance and mentorship to students throughout their learning journey.
- Assess student performance through assignments, projects, and exams.
- Offer constructive feedback to help students improve their skills and knowledge.
- Stay updated with the latest industry trends, tools, and technologies in data science.
- Collaborate with industry professionals to incorporate real-world scenarios and case studies into the training programs.
- Continuously improve training methodologies and content based on feedback from students and industry developments.
- Participate in professional development opportunities to enhance teaching skills and stay current with technological advancements.
Qualifications:Education:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Experience:
- Proven experience as a Data Scientist or in a similar role.
- Prior experience in teaching or training, especially in a technical field, is highly desirable.
- Experience with data mining, machine learning, and statistical analysis.
Technical Skills:
- Proficiency in programming languages such as Python, R, SQL.
- Familiarity with data visualization tools like Tableau, Power BI, or similar.
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Strong understanding of statistical methods and data analysis techniques.
Soft Skills:
- Excellent communication and presentation skills.
- Ability to explain complex concepts in a clear and understandable manner.
- Strong problem-solving skills and attention to detail.
- Passion for teaching and helping students succeed.
Preferred Qualifications:
- Knowledge of NLP, time series analysis, or Computer Vision.
- Experience with version control systems like Git.
