Associate, Data Science, Data Analytics Centre, Information Technology (Executive)

JOB SUMMARY

As part of the pioneer team in this newly setup Data Analytics Centre, the data scientist is to work on various data analytics initiatives and identify the business analytics requirements to deliver various insights to drive the data driven decision making agenda. To discover the information hidden in vast amounts of data for smarter decision making.

KEY DUTIES AND RESPONSIBILITIES

• Involved in various data analytics tasks/projects such as reporting, modelling, simulations and business intelligence.
• Partner with stakeholders to identify the business requirements and the expected outcome especially on improving efficiency, productivity and monetization using various data science methodology.
• Apply predictive modelling initiatives for various programs of planning of capital work, distribution, production, customer relationship, billing, water quality and other area of operations.
• Apply statistical data mining techniques to build high quality predictive analytics that integrates with our water solutions.
• Work with vendors/consultants on various analytics projects and apply the best practice for internal usage.
• Collaborate and work with different units in the Data Analytics Centre and other departments to support data collection, integration and retention requirements.

PERSON SPECIFICATION

Minimum Qualifications

• At least a bachelor degree in any of the following disciplines but not limited to Data Science, Computer Science, Statistics, Operational Research, Engineering, Mathematics, Actuarial, Economics.
• At least 3 - 8 years working experience of relevant quantitative research, analytics and data science experience.
• Experience with SQL / Phyton / R / SAS / Power BI / Tableau / SPSS or other Machine Learning programming languages.
• Experience in cloud platforms, Azure, GCP, AWS, Alibaba Cloud etc.
• Proficient in statistical analysis, quantitative analytics and forecasting/predictive analysis.

Knowledge, Skills and Abilities

• Knowledge of data acquisition, machine learning modeling, statistics, simulation and other mathematical modeling methodologies.
• Knowledge of statistical techniques and proficiency in the use of statistical package.
• Knowledge of business vs analytics - understanding data from various systems for deeper comprehension on data structure based on subjects.
• Proficient in statistical analysis, quantitative analytics and forecasting/predictive analysis.
• Preferably to have attended Big Data Analytics courses or have obtained certification in Data Science.
• Experience of leading a small team or junior executive.
• Developing stakeholder-ready deliverables and presenting them with confidence and influential.
• Able to complete multiple tasks within the deadline.
• Maintaining and balancing various requests from stakeholders and assess the objectivity of the requests for prioritization.