Data Scientist - Open to all nationalities

SUMMARY OF FUNCTIONS:

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:

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.