• Design and develop curriculum and training materials for data science courses, workshops, and bootcamps.
• Deliver engaging and informative training sessions, both in-person and online, to individuals and corporate clients.
• Cover a wide range of topics including but not limited to statistical analysis, machine learning algorithms, data visualization, and big data technologies.
• Customize training programs to meet the specific needs and skill levels of participants, from beginners to advanced learners.
• Provide hands-on guidance and mentorship to participants through practical exercises, projects, and case studies.
• Evaluate participant performance and provide constructive feedback to support their learning and development.
• Stay updated on industry trends, emerging technologies, and best practices in data science and analytics.
• Collaborate with the curriculum development team to continuously improve training materials and content based on feedback and industry advancements.
• Support marketing and business development efforts by participating in webinars, conferences, and other promotional activities.
Requirements:
• Proven experience as a Data Scientist or Data Science Trainer, with a strong background in statistical analysis, machine learning, and data visualization.
• Proficiency in programming languages commonly used in data science such as Python, R, and SQL.
• Excellent communication skills, both verbal and written, with the ability to explain complex concepts in a clear and understandable manner.
• Experience delivering training sessions or workshops to diverse audiences, including professionals and students.
• Strong organizational skills and attention to detail to effectively manage training schedules, materials, and participant progress.
• Ability to work independently as well as collaboratively in a team-oriented environment.
• Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field is preferred.
Job Type: Full-time
Pay: ?30,000.00 - ?50,000.00 per month
Schedule:
• Day shift
Experience:
• total work: 2 years (Required)
Work Location: In person
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