Data Scientist (UAE National Preferable)

Established in 1988 as the first private university in the GCC, Ajman University (AU) also was the first university in the UAE to admit expatriate students. Our institution continues to be a pioneer for inclusion, innovation, and social impact. In 2020, Ajman University became one of the first six higher education institutions in the world to receive global accreditation from the Quality Assurance Agency (QAA), UK’s independent body and a global leader in quality assurance for higher education. Ajman University is now ranked #551 in the world and among TOP 5 in the UAE, according to the 2024 QS World University Rankings, which places it among the top 1.75% institutions worldwide. This has been reflected in ranking Ajman University as 3rd and 8th for international students and faculty members respectively worldwide. Through its strategic partnership with leading companies and institutions locally, regionally and globally, the university’s ranking moved to 279 in Employer Reputation worldwide.

SUMMARY OF FUNCTIONS:

The Data Scientist supports the Office of Institutional Planning and Effectiveness (OIPE) by developing descriptive, predictive and prescriptive models using machine learning algorithms, conducting statistical analyses to support decision-making for higher management, and providing recommendations, based on data analytics, to improve the efficiency and performance of various units.

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Data Analysis / Data Engineering: Collect, clean, and preprocess data for analysis.
• ML Modeling: Develop predictive and prescriptive models using machine learning algorithms.
• Statistical Analysis: Conduct statistical analyses to support decision-making and solve business problems.
• Business Intelligence: Analyze data to identify trends, patterns, and insights. Also, create data visualizations and dashboards to communicate findings effectively.
• Translate data insights into actionable recommendations for various stakeholders.
• Prepare reports and presentations for management.
• Communicate findings and insights to both technical and non-technical stakeholders.
• Take initiatives to enhance the effectiveness, efficiency, and performance of various units at AU through in-depth data analysis.
• Support other members of OIPE as directed by the Executive Director of OIPE.

QUALIFICATIONS & EXPERIENCE:

• A Bachelor's degree in Data Science, Computer Science, or a related field is required. However, a Master's degree is preferred for this position.
• The applicant must have at least four years' experience as a data scientist or in a similar role.
• Strong programming skills in languages such as Python or R.
• Proficiency in using data analysis and machine learning libraries (e.g., Pandas, NumPy, sci-kit-learn, TensorFlow, Colab, …).
• Proficiency in utilizing data visualization tools (e.g., Matplotlib, Tableau, MS Power BI, or other related tools).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Project management experience.

KNOWLEDGE & SKILLS:

• Analytical skills
• Problem-solving and critical-thinking skills
• Communication skills
• Advanced skills in programming
• Advanced skills in professional report writing

WORKING CONDITIONS:

• Work is typically performed in a typical interior/office work environment.
• No or minimal physical effort is required.
• No or minimal exposure to physical risk.
• The position may entail work after duty hours, on weekends, holidays, and in emergencies (i.e., may be subject to 'on-call' responsibilities).

SUPERVISION:

• Reports to: The Executive Director of OIPE
• Working Relationships & Subordinates: This position has no supervisory responsibilities.