Job Title: Python/Data Science Instructor at Early Code

Python/Data Science Instructor at Early Code

At Early Code,we provide coding skills in a way you can quickly learn and apply them.Code your own logical operations, design and develop applications and websites.

Job Description

• Create and maintain up-to-date instructional materials, including assignments, projects, and assessments.
• Conduct physical classes, providing clear explanations, demonstrations, and real-world examples.
• Offer personalized support to students, addressing their questions, providing feedback, and helping them troubleshoot coding and data science challenges.
• Assess student performance through assignments, projects, and exams, and provide constructive feedback to guide their learning progress.
• Foster an engaging and inclusive learning environment that encourages active participation and collaboration.
• Stay informed about industry trends, emerging technologies, and best practices in Python programming and data science.
• Continuously evaluate and improve course content and instructional methods based on student feedback and learning outcomes.
• Collaborate with other instructors and team members to enhance the overall educational experience and contribute to the development of new programs.

Location: Abuja

Job Type: Full-time

Salary: ₦100,000 – ₦150,000/month

Requirements

• Minimum of HND (Higher National Diploma)
• Advanced degrees or relevant certifications are a plus.
• Extensive experience in Python programming and data science, with proficiency in key libraries and tools such as Pandas, NumPy, Matplotlib, Scikit-learn, Power BI, Tableau and TensorFlow.
• Strong understanding of data analysis techniques, machine learning algorithms, and data visualization practices.
• Proven experience in teaching or instructing, with the ability to effectively communicate complex concepts to diverse audiences.
• Excellent presentation, communication, and interpersonal skills.
• Ability to adapt teaching methods to accommodate different learning styles and skill levels.
• Strong organizational skills and attention to detail, with the ability to manage multiple courses and student interactions efficiently.
• A passion for education and a commitment to helping students achieve their academic and career goals.

Interested and qualified candidates should forward their CV to: careers@earlycode.net using the position as subject of email.