Lead, Data Science

Job: Technology & Innovation

Primary Location: Singapore

Schedule: Full-time

Employee Status:  Permanent


Ready to take the next step in your career with us?

To us, good performance is about much more than turning a profit.  It’s about showing how you embody our valued behaviours – do the right thing, better together and never settle – as well as our brand promise, Here for good.

We’re committed to promoting equality in the workplace and creating an inclusive and flexible culture – one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.


The Role Responsibilities

This is a rare opportunity for a self-driven, strong entrepreneurial spirit, start-up minded, solid and passionate individual to participate and contribute to a venture. The successful candidate will be responsible for leading data engineers, analysts etc to build an innovative platform and app leveraging on data, analytics to drive the business.

  • Lead a team of data engineers to perform the full lifecycle of data analyst / data science activities, from conceptualizing to operationalization.
  • Provide critical thinking and develop models to look at numbers, trends, and data and come to correct conclusions based on the findings.
  • Interpret and analyze data problems, translating business problems into data insights
  • Work with multidisciplinary teams including senior managemenet, tech and marketing teams to meet milestones, timelines, and deliverables for key projects as well as ongoing operations
  • Collate and present key findings to stakeholders with actionable recommendations
  • Define data sources and data structure, design and implement processes and models for complex, large-scale datasets used for predictive modelling, data mining, and research purposes.
  • Lead ideation, experimentation, hypotheses formulation and testing
  • Use Data Science or Data Analytics tools to design analytics dashboards.  Develop dashboard visualization, metrics, insights; establishing baselines, targets, averages and benchmarks
  • Ensure data quality and integrity


Our Ideal Candidate

  • Background in Statistics, Information Technology, Business Analytics, Data Science, Computing or related quantitative discipline.
  • Good knowledge and experience with visualisation tools such as AWS QuickSight, Qlikview, Power BI, Tableau; and data science tools such as R, Python, Jupyter, AWS Sagemaker
  • Experience with SQL and NoSQL databases
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Spark etc is a plus
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
  • Deep expertise in common data science tools/package (sklearn, mllib, tensorflow, torch, etc.) is a plus.
  • Good knowledge of data warehousing, data lake, data mining, advanced data analytics & modelling
  • Minimum of 5 years of relevant working experience, having implemented at least 2 major data warehouses / datamarts, data analytics, business intelligence or data science projects
  • Methodical, process oriented, organised and proactive self-starter
  • Able to work well within a team with diverse personalities
  • Able to multi-task, quick to adapt and able to work in fast paced environment. Having worked in an agile environment is a plus.
  • Good written and spoken communication, presentation and negotiation skills

Interested applicants, please forward your CV to HR@cardspal.com