Data Scientist - Open to all nationalities
Ajman UniversityJob Description
Summary Of Functions The Data Scientist supports the Office of Vice-Chancellor for Institutional Planning and Effectiveness 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 enhance academic quality, student success, and performance effectiveness of colleges/offices. 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 the team as directed by the Vice-Chancellor for Institutional Planning and Effectiveness. 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 Vice-Chancellor for Institutional Planning and Effectiveness - Working Relationships& Subordinates: This position has no supervisory responsibilities.
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