Data Science Manager

  • Job Ref.No: 01160660
  • Budget:
  • Timeline: to be confirmed later
  • Closing on: 12/11/2020
  • Country: Singapore

Job Description

Part-timers & Freelancers are Welcome to apply this Full time position
The Data Science Manager, Visa Consulting & Analytics (VCA) will be part of a high performing team of consultants and data scientists who engage with senior leaders at Visa’s client organizations through impactful, data-driven consulting & analytics projects. These engagements help our issuing, acquiring and merchant clients drive the growth and improved profitability of their payments businesses. In this role, you will be responsible for helping to develop and deliver analytic projects that solve clients' business objectives. You will get a chance to leverage your technical knowledge of big data and data mining techniques and hone your business acumen. Based on findings from data-driven analysis, you will draw fact-based insights and make actionable recommendations that reflect the client's business and context. You will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data. Data sets will include, but not limited to, VisaNet transaction data, data from diverse systems maintained by card issuing clients and alternate data sourced from non-traditional data vendors. We have a highly collaborative process and you are required to work across multiple teams and functions for developing cutting edge, creative and advanced analytic solutions and processes. This role is critical in building market-relevant client solutions and intellectual property for Visa. The role is focused on high growth markets in South East Asia – Indonesia, Philippines, Vietnam, Myanmar and Cambodia, reporting into the geographic Data Science Head, and will be based in Singapore.

•Collaborating with the internal Visa team and external clients to understand the business problem and desired business outcome
•Defining detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
•End-to-end delivery of multiple small to large projects individually, or as part of a project team, within timelines and budget
•Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations •Research industry metrics and business context and bring this context to bear in analyses
•Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques
•Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables
•Work as independent contributor mostly and as a mentor to other team members by providing guidance when required
•Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
•Oversee deployment and implementation of analytics solutions, and track business value impact
•Develop strategies and recommendations on testing and monitoring analytical model performance in the business context


•Minimum of 8 years of analytical experience in applying statistical solutions to business problems
•Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
•Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive
•Proficiency in some of the following statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc
•Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
•Demonstrated ability to innovate solutions to solve business problems

•Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor
•Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in cards/payments, retail banking, or retail merchant industries is important
•Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
•Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis
•Proven skills in translating analytics output to actionable recommendations, and delivery
•Experience in presenting ideas and analysis to stakeholders •Exhibit intellectual curiosity and strive to continually learn

Job Requirement
Analytical Skills
Project Management
Data Analysis

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