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 Director Data Solution Engagement does at Visa:
The Director 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.
Responsibilities
Directing the execution of medium to large analytic projects along with rest of the stakeholders in both internal and externalCollaborating with the different teams to fully understand business requirements and desired business outcomesDefining detailed analytic scope and methodology, and creating analytic planExecuting 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 knowledgeWork as independent contributor mostly and as a team lead if needed by providing guidance to other team members where neededEnhancing existing analytic techniques by promoting new methodology and best practices in analytics fieldProviding subject matter expertise and quality assurance of complex data driven analytic projects What you will need:
Business
Results oriented 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 preferredUnderstanding of Cards/Payments and Banking business model would be a plusTeam 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 learnProficient in Chinese( Cantonese / Mandarin) languageTechnical
Minimum of 5-10 years of analytical experience in applying statistical solutions to business problemsQuantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience preferredHands on experience with one or more data analytics/programming tools such as /Hadoop/SQL/Python/HiveProficiency 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 problems Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.