- Experience
- 4+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 3 weeks ago
- Work mode
- In office
- Education
- Bachelor's degree
- Resume
- Required to apply
Where you'll work
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Job description
Position Summary
The Data Scientist role supports the Office of the Vice-Chancellor for Institutional Planning and Effectiveness by creating descriptive, predictive, and prescriptive models employing machine learning techniques. The role involves statistical analysis to aid higher management decision-making and delivering data-driven advice to improve academic quality, student achievement, and operational effectiveness across colleges and administrative offices.
Responsibilities
- Gathering, cleaning, and preparing data sets for further analysis.
- Building and refining machine learning models for predictive and prescriptive analytics.
- Performing statistical analyses to resolve business challenges and support strategic decisions.
- Examining data to discover trends, patterns, and actionable insights; designing effective visualizations and dashboards to present results.
- Translating analytical findings into practical recommendations for multiple stakeholders.
- Preparing comprehensive reports and delivering presentations to management.
- Communicating results clearly to both technical teams and non-technical audiences.
- Proactively driving improvements in efficiency, effectiveness, and overall performance of various AU units through detailed data examination.
- Providing assistance to team members 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 discipline is required; a Master's degree is preferred.
- At least four years of professional experience as a data scientist or in a similar analytical role.
- Demonstrated programming expertise in Python or R.
- Experience with data analysis and machine learning libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and Google Colab.
- Skilled in the use of data visualization platforms like Matplotlib, Tableau, Microsoft Power BI, or similar software.
- Knowledge of big data frameworks, including Hadoop and Spark.
- Project management capabilities.
Knowledge & Skills
- Strong analytical aptitude.
- Effective critical thinking and problem-solving abilities.
- Excellent communication skills for sharing insights.
- Advanced programming proficiency.
- Experienced in professional report writing.
Working Conditions
- The role is predominantly office-based with typical indoor work settings.
- Requires minimal physical exertion and low exposure to physical hazards.
- May occasionally require working beyond regular hours, including weekends, holidays, or emergencies, necessitating on-call availability.
Supervision
- This position reports directly to the Vice-Chancellor for Institutional Planning and Effectiveness.
- No supervisory responsibilities are associated with this role.
Minimum education
Bachelor's Degree
Skills
Tools & software
TensorFlow
Apache Hadoop
required
How they work
Communication
Problem Solving
Initiative