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Data Scientist - Open to all nationalities - job post

Ajman University
3.8 out of 5 stars
UAE
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Job details

Job type

  • Full-time

Location

UAE

Full job description

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.

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