Data Science Freelance Instructors

Client of Faze 3 Consulting; Dubai; On-site; AED 120,000 - 150,000; Full time

Job summary

A leading company in Dubai is seeking a Data Science Instructor to deliver courses on data science and artificial intelligence. The ideal candidate will have advanced knowledge in these fields, experience in teaching, and strong organizational skills. Fluency in English is mandatory, and Arabic is a plus. This role offers the opportunity to shape the future of aspiring data scientists.

Qualifications

• Experience as a data science instructor and in data science, data engineering, or AI.
• Experience in delivering training using various media.

Skills

Data Science

Artificial Intelligence

SQL

Python

Presentation Skills

Organizational Skills

Interpersonal Skills

Education

Bachelor's in Computer Application

Master’s degree in Data Science

PhD in Data Science

Job description

Bachelor's in Computer Application (Computers)

Nationality: Any

Vacancy: 1

Job Description

Experience required

• Possession of a Bachelor's degree in a relevant subject; a Master’s degree and/or PhD in Data Science or closely related topics is preferred.
• Experience as a data science instructor and in working with data science, data engineering, or artificial intelligence.
• Experience in delivering both short-term and long-term courses.
• Experience in developing and delivering training using various media, including learning management systems.
• Advanced IT skills, including proficiency in Microsoft Office applications.
• Excellent organizational, presentation (both written and verbal), and interpersonal skills.
• Fluency in English is mandatory; fluency in Arabic is an advantage.
• Ability to work under pressure and meet deadlines.
• Strong team player capable of building effective working relationships with colleagues and stakeholders.

Skills & Knowledge required

We seek candidates with advanced knowledge of data science and artificial intelligence, including:

• Exploratory Data Analysis using SQL and Python for data manipulation and visualization.
• Fundamentals of mathematics for Data Science, including Boolean logic, statistical distributions, inference, and correlation.
• Linear Regression and Web scraping techniques.
• Data classification, evaluation, and real-world applications.
• Unsupervised learning theory.
• Natural Language Processing.
• Neural Networks, Embeddings, and Convolutional Neural Networks.
• Deep Learning methods for modeling sequential data.

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