Data Scientist - Open to all nationalities

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.