Job Description

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