Data Scientist

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

DESIGNATION : Data Scientist / Senior Data Scientist, IITS

RESPONSIBILITIES
- This position is for Office of Integrated Information Technology Services.
- Initiate, conceptualise, analyze, design, develop and maintain enterprise corporate analytics and reporting initiatives and solutions that provide actionable insights leading to greatest opportunities for SMU.
- Reach out to and collaborate with business to identify descriptive, predictive and prescriptive analytics needs and opportunities so as to empower data-driven action plans and decisions.
- Develop and implement Artificial Intelligence (AI) and Machine Learning (ML) models and solutions, both in the cloud and on-premise, to solve business problems and derive business insights.
- Mine, analyze, map and harmonize data across different source systems, perform data wrangling techniques and assess data accuracy, and setup data for the respective predictive and prescriptive analysis.
- Play a project lead role for in-house system development, enhancements, and maintenance.
- Collaborate closely with users and other IT colleagues, in understanding dependencies and be agile in managing changes.
- Coordinate and conduct user acceptance tests and training.
- Provide system documentation according to the Project Development Methodology.
- Provide technical assistance and day-to-day operational support for existing systems, e.g. the Qlik Sense dashboards.
- Conduct post implementation reviews to gather user feedback and schedule for enhancements and modifications.
- Help to define and establish technical design and development standards.
- Lead in designing, implementing and delivering data literacy programs.
- Form good user relations by cultivating trust and building good rapport with users.

QUALIFICATIONS
- Diploma / Degree
- At least 2 years of hands-on experience as a Data Scientist.
- Certification in Data Science an advantage.
- Good knowledge of machine learning skills and techniques in creating and using algorithms and statistical models, e.g. regression, simulation, scenario / what-if analysis, modeling, clustering, decision trees, and neural networks.
- Proficiency in programming languages like Python and R. Familiarity with Qlik Sense development and administration is a plus.
- Strong data warehousing, dimensional modelling concepts and SQL query skills.
- Good knowledge of software development life cycles and structured project development methodology.
- Excellent business acumen and an eye for detail.
- Excellent communication (oral and written), interpersonal, conflict management and persuasive skills.
- Strong critical thinking and problem solving skills.
- Self-driven with the ability to multi-task and take on concurrent projects.

OTHER INFORMATION

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