Data Science Tutor at Raadaa Partners International Limited - 4 Opening

Raadaa Partners International Limited is an ICT training hub that is dedicated to providing training,education,and skills development in various aspects of information and communication technology(ICT).

We are recruiting to fill the position below:

Job Title: Data Science Tutor

Locations: Abuja (FCT) , Anambra, Benue and Delta
Employment Type: Full-time

Job Description

• As a Data Science Tutor, you will play a crucial role in guiding our students to achieve their data science goals. You will work closely with individuals at various skill levels, from beginners to advanced learners, and provide them with the necessary knowledge and skills to succeed in the world of data science. Your primary responsibilities will include:

Responsibilities

• Conduct one-on-one or group tutoring sessions with students.
• Create and deliver engaging, customized data science lessons.
• Assist students in understanding core data science concepts, tools, and techniques.
• Provide hands-on guidance in data analysis, data visualization, and machine learning projects.
• Help students develop problem-solving and critical-thinking skills.
• Offer constructive feedback to help students improve their data science skills.
• Stay updated on the latest trends and developments in data science.
• Collaborate with our curriculum development team to improve course materials.

Qualifications

• A Bachelor's Degree in a related field (e.g., Data Science, Computer Science, Statistics, or Mathematics).
• Proven experience in data science and machine learning, with a strong portfolio of projects.
• Excellent communication and interpersonal skills.
• Ability to explain complex data science concepts in a clear and understandable manner.
• Patience and a passion for teaching and helping others succeed.
• Proficiency in data science tools and programming languages such as Python, R, and relevant libraries/frameworks.
• Prior tutoring or teaching experience is a plus.

What We Offer

• Competitive compensation based on experience and qualifications.
• A dynamic and collaborative work environment.
• Opportunities for professional development and growth.
• Impactful work helping students advance in their data science career.

Application Closing Date
3rd November, 2023.