Founded in 1988 as the first private institution of higher education in the United Arab Emirates and the Gulf region, Ajman University (AU) is now being recognized as an emerging leader on the global academic map. The 2021 QS World University Rankings lists AU among the top 750 universities worldwide. And, the latest “Top 50 Under 50” QS Rankings names AU as one of the top 150 young universities in the world. Even our distinct location in the Dubai/Sharjah/Ajman corridor is ranked by QS as the 60th best student destination on the planet.

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Job Title: Data Scientist Job Description Overview: As a Data Scientist at the Office of Institutional Planning and Effectiveness (OIPE), you will play a crucial role in leveraging data analytics to support decision-making and improve efficiency across various units at AU. You will be responsible for collecting, analyzing, and interpreting data, developing predictive models, and providing actionable insights to enhance performance. This role requires strong analytical skills, proficiency in machine learning algorithms, and the ability to communicate findings effectively to both technical and non-technical stakeholders. Responsibilities: Data Analysis and Engineering: - Collect, clean, and preprocess data for analysis. - Utilize data analysis and machine learning libraries to conduct in-depth 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. - Create data visualizations and dashboards to communicate findings effectively. Recommendations and Reporting: - Translate data insights into actionable recommendations for various stakeholders. - Prepare reports and presentations for management. Continuous Improvement: - Take initiatives to enhance the effectiveness, efficiency, and performance of various units through data analysis. Support: - Support other members of OIPE as directed by the Executive Director of OIPE. Qualifications &amp; Experience: - Bachelor's degree in Data Science, Computer Science, or related field required; Master's degree preferred. - Minimum four years' experience as a data scientist or in a similar role. - Strong programming skills in Python or R. - Proficiency in data analysis and machine learning libraries (e.g., Pandas, NumPy, scikit-learn, TensorFlow). - Proficiency in data visualization tools (e.g., Matplotlib, Tableau, MS Power BI). - Familiarity with big data technologies (e.g., Hadoop, Spark). - Project management experience. Knowledge &amp; Skills: - Analytical, problem-solving, and critical-thinking skills. - Advanced programming and professional report writing skills. - Excellent communication skills. Working Conditions: - Typically performed in an office environment with minimal physical effort. - May require work after duty hours, weekends, holidays, and emergencies. Supervision: - Reports to: Executive Director of OIPE - No supervisory responsibilities. This role offers an exciting opportunity to contribute to AU's mission by harnessing the power of data analytics to drive strategic decision-making and improve organizational performance.

Data Scientist

Job Title: Assistant Professor of Digital Marketing Client Description: Ajman University College of Business Administration (CBA) Roles &amp; Responsibilities: As an Assistant Professor of Digital Marketing, you will play a vital role in teaching and conducting research in Digital Marketing, Social Media Marketing, and Marketing Analytics. Here are the key responsibilities: - Design, deliver, and assess graduate and undergraduate courses in Digital Marketing, Social Media Marketing, and other related areas. - Utilize innovative and technology-based teaching methods to enhance student learning outcomes. - Provide academic advising services to students. - Conduct high-quality research and publish research outcomes in reputable journals and conferences. - Participate in departmental, college, and university-level committees and service tasks as assigned. - Actively promote the growth and visibility of Ajman University. - Provide consultancy and industry-facing services to university partners and the business community. - Play an active role in the administration and promotion of the Department of Marketing. - Attend and contribute to departmental and university meetings. - Assist with student recruitment efforts and contribute to strategic planning processes. - Engage in continuous professional development. Qualifications &amp; Experience: - Ph.D/DBA in Digital Marketing, Social Media Marketing, Marketing Analytics, or a closely related field from a reputable university, preferably accredited by AACSB. - Significant industry experience in Digital Marketing or Social Media Marketing is highly desirable. - Excellent teaching record with at least two or more years of teaching experience at graduate and undergraduate levels in an internationally reputable university. - Demonstrable record of excellence in teaching Digital Marketing, Social Media Marketing, Marketing Analytics, and related courses. - Outstanding record of research and peer-reviewed publications in top-tier business/management journals. - Experience supervising student projects and dissertations preferred. - Excellent record of professional and community service. Essential Duties &amp; Responsibilities: - Design, deliver, and assess graduate and undergraduate courses. - Engage in innovative teaching methods. - Conduct high-quality research and publish in reputable journals. - Participate in committee and service tasks. - Promote the growth and visibility of Ajman University. - Provide consultancy and industry-facing services. - Perform miscellaneous job-related duties as assigned. Application Process: Interested candidates should submit the following: - Letter of interest addressing qualifications for the position. - Current curriculum vitae. - Statement of teaching and research philosophy. - Copies of transcripts of doctoral (or other highest, as applicable) coursework. - List of three professional references with names, titles, phone numbers, and email addresses, including a current or previous supervisor.

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