- Data Analysis / Data Engineering:Collect, clean, and preprocess data foranalysis.
- ML Modeling: Develop predictive andprescriptive models using machine learningalgorithms.
- Statistical Analysis: Conductstatistical analyses to support decision-making and solve businessproblems.
- Business Intelligence: Analyze datato identify trends, patterns, and insights. Also, create datavisualizations and dashboards to communicate findingseffectively.
- Translate data insights intoactionable recommendations for variousstakeholders.
- Prepare reports and presentationsfor management.
- Communicate findings andinsights to both technical and non-technicalstakeholders.
- Take initiatives to enhance theeffectiveness, efficiency, and performance of various units at AUthrough in-depth data analysis.
- Support othermembers of OIPE as directed by the Executive Director ofOIPE.
- ABachelor's degree in Data Science, Computer Science, or arelated field is required. However, a Master's degree ispreferred for this position.
- The applicant musthave at least four years' experience as a data scientist orin a similar role.
- Strong programming skills inlanguages such as Python or R.
- Proficiency inusing data analysis and machine learning libraries (e.g., Pandas,NumPy, sci-kit-learn, TensorFlow, Colab,...).
- Proficiency in utilizing datavisualization tools (e.g., Matplotlib, Tableau, MS Power BI, orother related tools).
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