Vacancy title:
4 Data Science Lecturer/Assistant Lecturer

[Type: FULL_TIME, Industry: Education, and Training, Category: Teachers & Education]

Jobs at:
Abdulrahman Al-Sumait University (SUMAIT)

Deadline of this Job:
Friday, May 30 2025

Duty Station:
Zanzibar | Tanzania | Tanzania

Summary
Date Posted: Tuesday, May 6 2025, Base Salary: Not Disclosed

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JOB DETAILS:

Qualifications:

 Lecturer

 Ph.D. in Data Science or a closely related field (Artificial Intelligence, Machine Learning, Data Analytics, Big Data, Big Data Analytics, etc.)

 Master’s Degree in Data Science or a closely related field (Artificial Intelligence, Machine Learning, Data Analytics, Big Data, Big Data Analytics, etc.), with G.PA of at least 4.0.

 Bachelor’s Degree in a relevant field (Data Science, Computer Science, Artificial Intelligence, Machine Learning, Data Analytics, Big Data, Big Data Analytics, Information Systems, Software Engineering, Computer Science, Information Technology, Computer Networks, Information Systems, Computer Engineering, ICT, Software Engineering, etc.), with G.P.A of at least 3.5.

 A strong record of research publications in data science, machine learning, or artificial intelligence.

 Assistant Lecturer

 Master’s Degree in Data Science or a closely related field (Artificial Intelligence, Machine Learning, Data Analytics, Big Data, Big Data Analytics, etc.), with G.PA of at least 4.0.

 Bachelor’s Degree in a relevant field (Data Science, Computer Science, Artificial Intelligence, Machine Learning, Data Analytics, Big Data, Big Data Analytics, Information Systems, Software Engineering, Computer Science, Information Technology, Computer Networks, Information Systems, Computer Engineering, ICT, Software Engineering, etc.), with G.P.A of at least 3.5.

Essential Requirements:

 University-level teaching experience (2–3 years) in core data science and related subjects.

 Strong ability to teach core data science subjects, including Data Science, Machine Learning, Deep Learning, Big Data Analytics, Artificial Intelligence, Natural Language Processing, Data Visualization, Data Mining, Predictive Analytics, Business Intelligence, and other relevant subjects.

 Proficiency / Experience in Data Science Tools & Frameworks: Experience with tools and frameworks like Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), R, SQL, Hadoop, Spark, Tableau, Power BI, Jupyter Notebooks, and cloud computing platforms (AWS, Azure, GCP), etc.

 In-depth knowledge and hands-on experience with machine learning algorithms, predictive modeling, data cleaning, feature engineering, and model evaluation as well as using data visualization tools such as Tableau, Power BI, matplotlib, and ggplot for effective data storytelling, etc.

 Knowledge of various data science methodologies and frameworks, such as CRISP-DM (Cross-Industry Standard Process for Data Mining), Explainable AI (XAI), Responsible AI principles, etc.

 Ability to develop and deliver curriculum on data science and AI-related topics.  Research experience and willingness to conduct research in data science, artificial intelligence, and related areas

Work Hours: 8

Experience in Months: 36

Level of Education: postgraduate degree

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