Data Science Trainer

18 hours ago

Bengaluru Hyderabad, India Kapil Knowledge Hub Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Position Title: Data Science Trainer

Company: TeksAcademy

Location: Hyderabad

Employment Type: Full-Time (Onsite)

About the Role:

Were looking for an experienced and passionate Data Science Trainer to lead learning initiatives, impart industry-relevant knowledge, and build foundational and advanced skills in data science for our learners. As a Data Science Trainer, you'll guide individuals or groups through the concepts and techniques needed to succeed in data analysis, machine learning, and data-driven decision-making.

Key Responsibilities:

  • Conduct Data Science Training: Lead both online and in-person training sessions on a variety of data science topics such as statistics, programming (Python, R), machine learning, data visualization, and more.
  • Create and Curate Course Materials: Develop and update educational resources, such as slides, tutorials, exercises, and datasets, ensuring they align with the latest industry standards.
  • Facilitate Hands-On Learning: Engage learners with practical coding exercises and real-world problem-solving tasks to enhance their understanding of data science techniques.
  • Assess and Provide Feedback: Evaluate students' progress through assessments, quizzes, and projects, giving personalized feedback to help them improve their skills.
  • Stay Current with Trends: Continuously learn about emerging trends, tools, and techniques in data science, integrating these into training materials and courses.
  • Provide Mentorship: Offer mentorship to students, helping them build confidence in applying data science concepts, troubleshooting issues, and building portfolios of their work.
  • Collaborate and Improve: Work closely with other instructors, curriculum designers, and teams to improve and refine training programs, based on feedback and results.

Required Qualifications:

  • Educational Background: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Experience: Demonstrated experience in data science, machine learning, statistical analysis, and working with data programming languages such as Python, R, and SQL.
  • Teaching Experience: Proven track record of teaching or training in a technical field, especially data science, either online or in-person.
  • Technical Expertise: Strong hands-on experience with data science tools and libraries like Pandas, NumPy, Scikit-learn, Matplotlib, Tensor Flow, etc.

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