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South Africa: Data Science Facilitator posted by Dananda Talent

Date 2024-11-18
Job Title Data Science Facilitator
Employer Dananda Talent
More Information
Salary 0
Category Professions
Location South Africa
/ South Africa

Job Summary

Responsibilities:

Curriculum Development and Delivery: Develop and present engaging training modules that cover advanced data science topics, catering to learners` varying levels of proficiency. Deliver insightful content on subjects such as machine learning algorithms, artificial intelligence frameworks, deep learning architectures, and web development techniques.
 
Technical skills:
Programming Language: Python
AI & Data analysis Packages/Framework: Numpy, Pandas, Seaborn, Sklearn, TensorFlow & Keras
Knowledge of Natural Language Processing /Computer Vision will add an advantage.
 
Customization of Learning Material: Tailor existing course materials or create new content to align with the specific learning requirements and skill levels of diverse participants, spanning from novice learners to experienced data science professionals.
Stay Abreast of Industry Trends: Continuously research and monitor the dynamic landscape of data science, including emerging technologies, methodologies, and industry best practices, to ensure that training content remains relevant and up to date.
 
Individualized Mentorship: Provide personalized guidance and support to participants, addressing their inquiries and assisting them in overcoming challenges encountered while mastering data science methodologies.
 
Qualification-

  1. M Sc (Computer Science) or
  1. MCA (Master in Computer Application) or
  1. B Tech or M Tech in Computer Engineering or IT

Technical Skills- 

  1. Programming Language: Python
  2. Database: MySQL/Oracle/SQL Server/PostgreSQL SQL (any one)
  3. Data Science: Numpy, Pandas, Matplotlib, Seaborn, EDA
  4. Machine Learning: Sklearn, ML models for regression, classification, and clustering problems
  1. Additional knowledge of the following will be an advantage: Tableau/Power BI

Work Experience-



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