Senior Data Scientist - CardsPal

Standard Chartered

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Job Summary

$13,000 - $21,500 SGD / Monthly EST

Job Type

Senior (≥ 6 yrs)

Years of Experience
At least 5 years

Tech Stacks
AWS Sagemaker

Job Description

Key Roles and Responsibilities

The Venture is a newly formed fintech based in Singapore. 
The successful candidate will be the part of a start-up team leading developers to build an innovative platform and app leveraging on data, analytics to drive the business. 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. 

•    Perform full lifecycle of data analyst / data science activities, including conceptualizing to operationalization.
•    Provide critical thinking to look at numbers, trends, and data and come to correct conclusions based on the findings.
•    Interpret and analyze data problems, turning business problems into data insights
•    Work with various people from the tech and marketing teams in meeting milestones, timelines, and deliverables for projects.
•    Collate and present key findings to stakeholders with actionable recommendations
•    Define data sources and specifications, 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

Knowledge and Qualifications
•    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
•    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

To view information on our benefits including our flexible working please visit our career pages. We welcome conversations on flexible working.

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