Chief Data Scientist

Job Responsibilities
  • Ensure that team members are performing at a high level of standards to meet the needs of the organization; collecting feedback to support the objective assessment of individual and team performance.
  • Maintain up-to-date with best practice data strategies to support the needs of the business.
  • Ensure system uptime and stability for PowerBI and Sharepoint.
  • Ensure data accuracy of the BI dashboards.
  • Ensure key users are well trained and equipped with the necessary data analysis tools and knowledge.
  • Provide timely updates to Management.
  • Collaborate with the appropriate units to develop and maintain technology plans that support company needs.
  • Develop and communicate business / technology alignment plans to internal and external stakeholders.
  • Identifying relevant data sources for business needs.
  • Collecting structured and unstructured data.
  • Sourcing missing data.
  • Organising data into usable formats.
  • Building predictive models.
  • Building machine learning algorithms.
  • Enhancing the data collection process.
  • Processing, cleansing & verifying of data.
  • Analysing data for trends and patterns and to find answers to specific questions.
  • Setting up data infrastructure.
  • Develop, implement and maintain databases.
  • Assess quality of data and remove or clean data.
  • Generating information and insights from data sets and identifying trends and patterns.
  • Preparing reports for executive and project teams.
  • Create visualisations of data.
  • Degree in Computer Science or related technology disciplines; with equivalent business experience and at least 10 years’ progressive working experience in medium to large organisations.
  • At least five years in a management role in handling BI platforms.
  • Experienced with database management.
  • Extensive technical knowledge of data extract, transform & load (ETL) process.
  • Ability to analyse and draw insights to datasets.
  • Experienced with system integration, creating data relations between multiple data sources and meaningful dashboards for the business needs.
  • Strong process, quality assurance, incident, problem management, as well as experience in vendor management and support outsourcing arrangements.
  • Functional understanding of project management principles.
  • Ability to work with the other TS teams (Infra & Apps) to improve current systems/dashboards.
  • Ability to understand and offer suggestions to business needs in terms of BI.