Technical Trainer

About Us:

ITVedant Education Pvt. Ltd. is a premier institution focused on providing high-quality IT education and training. Our mission is to empower students with the knowledge and skills needed to succeed in the tech industry. We are looking for a passionate Data Scientist IT Trainer to join our team and help shape the future of aspiring data scientists.

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.