About this role
Team Summary
Data Science team is a key part of decision management engine at Visa; this is a high-performing team of data scientists, data analysts, statisticians, and business analysts from a variety of countries – serving major FIs and merchants in Asia Pacific. Analytics & Data Products is looking for a hands-on person that earns trust and respect of the team. The person must be results oriented, highly organized, and must, must be focused on delivering innovative analytics work.
What a Senior Data Scientist does at Visa:
The Senior Data Scientist will be working together with other members in the team to design and deliver projects with the appropriate analytic methodologies and techniques to solve client’s business objectives. The team closely collaborates with business stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to clients. Responsibilities include delivering projects on time and within scope with an in-depth knowledge of data analytics and cutting-edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modeling and segmentation. These analyses are foundational to corroborate or refute stated hypotheses and are incorporated in the final client-facing solutions. The team is responsible for continuously creating and protecting analytic IP resulting from project learning.
As a Senior Data Scientist you will be responsible for developing Data Analytics solutions to solve business problems. Here, you will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data. 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.
Why this is important to Visa
The Senior Data Scientist is a key member of the Consulting and Analytics team. DS is key driver to Visa business.
What you will need:
Responsibilities
Work with internal teams to lead end-to-end client engagement, overseeing every stage from initial pitch and proposal development through project execution to final delivery and post-project follow-up, while ensuring seamless collaboration and consistently exceptional client satisfactionCollaborating with the different teams to fully understand business requirements and desired business outcomesDefining detailed analytic scope and methodology, and creating analytic planDevelop tailored solutions and presentations that address client needs, effectively communicating value propositions and project scopeDirecting the execution of medium to large analytic projects along with rest of the stakeholders in both internal and externalExecuting on the analytic plan with appropriate data mining and analytic techniquesPerforming QA on data and deliverables by analysts and own deliverablesEnsuring all project documentation is up to date and all projects are reviewed per analytic planEnsuring project delivery within timelines and budget requirementsBuilding on team’s analytical skills and business knowledgeEnhancing existing analytic techniques by promoting new methodology and best practices in analytics fieldProviding subject matter expertise and quality assurance of complex data driven analytic projectsUnderstanding of data privacy, data governance, and responsible AI best practicesTechnical
Hands on experience with one or more data analytics/programming tools such as SQL/SAS/ /Python/Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling etc., Evolutionary Algorithms(e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks etc.Working knowledge in advanced data mining and modeling: Predictive modeling techniques (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholdersDemonstrated ability to innovate solutions to solve business problemsBusiness
Solution design skill with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigorGood business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferredTeam oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levelsDetailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysisProven skills in translating analytics output to actionable recommendations, and deliveryExperience in presenting ideas and analysis to stakeholdersExhibit intellectual curiosity and strive to continually learnWhat will also help:
Minimum of 8 years of analytical experience in applying statistical solutions to business problemsPost Graduate degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience preferredPrior experience working in a FI or payment business/analytics department is highly desirableUnderstanding of Cards/Payments and Banking business model would be a plusProficient in English/Cantonese/ Mandarin languageWorking location: Hong KongProjects you will be a part of:
New Analyst tools and algorithms.Besides data analysis skills, consulting skills also need to be developed.Proficiency In BI tools such as Tableau and Power BI would be a plus
All your information will be kept confidential according to EEO guidelines.