• 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).