Data Scientist Tutor

Hybrid (Onsite in Ibadan and Remote)
Ibadan
Posted 4 weeks ago

JOB OVERVIEW


We are seeking a passionate and knowledgeable Data Scientist Tutor to join our team. The ideal candidate will have a strong background in data science, experience in teaching or mentoring, and a commitment to helping students succeed. This role involves delivering high-quality lectures, creating engaging course materials, and providing support to students throughout their learning journey.

ROLES AND REPONSIBILITIES

Deliver Lectures: Conduct engaging and informative lectures on data science topics for a total of [X] hours per week/month.


Curriculum Development: Collaborate with the curriculum development team to create, update, and refine course materials and resources.


Student Support: Provide one-on-one or group mentoring sessions to help students with their projects, assignments, and any questions they may have.


Assessment and Feedback: Design and grade assignments, quizzes, and projects, providing constructive feedback to students.


Stay Updated: Keep abreast of the latest developments in data science and integrate new tools and techniques into the curriculum.


Community Engagement: Foster a supportive and collaborative learning environment, encouraging student participation and engagement.


QUALIFICATIONS


Education: Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.


Experience: Minimum of [X] years of professional experience in data science or a related role.


Technical Skills: Proficiency in programming languages such as Python or R, and experience with data analysis, machine learning, and data visualization tools.


Teaching Experience: Previous experience in teaching, tutoring, or mentoring is highly desirable.


Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex concepts clearly and concisely.


Passion for Education: A genuine interest in helping students learn and succeed in the field of data science.

Lecture Hours: [8 hours per week]

SALARY
Competitive salary commensurate with experience and qualifications.

BENEFITS
Professional development opportunities


Application Process:
Interested candidates are to submit their resume, cover letter, and a brief description of their teaching philosophy in the form below.

APPLICATION DEADLINE
11:59 pm, June 30 2024

Join Apps&Scripts and make a difference in the lives of aspiring data scientists. We look forward to welcoming you to our team!

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