Lecturer II, Data Science (Analytics / Big Data) at Redeemer's University

Redeemer's University is a private, faith-based University, owned by the Redeemed Christian Church of God (RCCG). It was licensed by the Federal Government of Nigeria in January 2005. The University is committed to the development of high quality moral and academic standards, both at the undergraduate and postgraduate levels. Redeemer's University hosts the World Bank supported African Centre of Excellence for the Genomics of Infectious Diseases (ACEGID) and had won many other awards and grants.

We are recruiting to fill the position below:

Job Title: Lecturer II, Data Science (Analytics / Big Data)

Location: Ede, Osun
Faculty: Natural Sciences
Department: Mathematics and Statistics
Grade: RUASS 4

Requirements

• The ideal candidates should possess BSc in Data Science / Statistics and an MSc in Data Science.
• The candidate should have a PhD in Data Science specializing in Analytics/Big Data.
• For candidates without a PhD, a minimum of three (3) years of teaching experience as an Assistant Lecturer in these areas is required.
• Proficiency in programming languages commonly used in data science, such as Python, R, or SQL and hands-on experience in statistical analysis and machine learning algorithms, including data visualization methods, is required.
• Familiarity with data analysis tools and frameworks, such as Pandas, NumPy, TensorFlow, or Hadoop and applying the techniques to real-world problems and datasets will be an added advantage.
• Evidence of publications in Scopus-Indexed Journals would be an added advantage.
• Candidates with over two years full-time relevant teaching and research experience at Lecturer II level may be considered provided he/she can demonstrate a scholarship with substantially excellent publication far beyond the minimum requirements.

Condition of Service
In addition to the conditions of service obtainable in similar institutions of higher learning, Redeemer’s University offers an enhanced remuneration package designed to attract high-quality candidates committed to achieving its vision.

Application Closing Date
12th February, 2025.