Status: closed

For a world leader in digital payments.

Salary expectations (package: +/- $175,000 based on experience)

Projects you will be a part of

The nature of projects in this role will focus on driving value from our Client’s’ unique data assets and collaborating with our Client’s Product Consumer Solutions team to solve their most strategic business problems. Here are some sample projects

• Engagement Solutions: Enhance existing Visa loyalty platform data models by embedding various AI solutions and drive cross-functional discussions
• Modern Credential Solutions: Leverage data-driven solutions to develop case studies, better understand consumer targeting, optimize merchant flows and put together convincing, data-based narratives to sell new visa product solutions to issuer and seller side participants.
• Affluent portfolio optimization: Design proper analytics metrics to measure our Client’s cardholders’ performance, size opportunities and derive actionable insights to support our Client’s Product team on revamp our Client’s core product value propositions.

What a Sr. Data Scientist (Sr Manager) does at our Client’s Headquarters

• Join us as a Senior Manager, Data Science and play an instrumental role in steering the implementation and development of data driven solutions within the Global Data Solutions team.
• The position will be based in Visa’s Singapore office. The successful candidate will support the AP Product Consumer Solutions team by bringing analytical insights into captivating narratives tailored for our clients and stakeholders while offering valuable data-driven advice to support business growth.
• Lead the development of data driven solutions aligned with stakeholder priorities and leading different vendors for the execution if required
• Partner with roles across the organization including consultants, engineering, and data scientists to address prioritized problems
• Implement a robust system for measuring and optimizing the quality of deployed algorithms and models. Monitor AI models in production to evaluate performance, model drift, and decay.
• Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
• Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders
• Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing

What you will need

• Post Graduate (masters or Ph.D) in STEM field with at least 8 years being a data scientist or analytics consultant
• Hands-on experience in developing machine learning models, scaling data solutions and delivering end-to-end data science projects
• Familiar with typical machine learning models such as Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, etc
• Proficient in big data aggregation using Hive, Spark, SQL, R/Python, and familiar with typical deep learning toolkits and packages
• Experience with visualization and reporting tools, such as advanced user of Power BI, Tableau, MicroStrategy, open-source tool, or similar
• Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
• Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization
• Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the ability to handle numerous projects
• Experience in banking / marketing / consulting industry is preferred

CV and cover letter (optional) should be sent to hr-talents@hubia.io, specifying the following reference in the email subject: 03hubiaUSA1223

You will be contacted again within 15 days if you have been selected to continue the recruitment process for this position.

See you soon!