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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Job Type: Full-time
Pay: ?20,000.00 - ?45,000.00 per month
Benefits:
Provident Fund
Work Location: In person
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