About this role
Lead, execute and deliver data science engagements for Indonesia clients
Define detailed scope and methodology, design and create solutions, execute on frameworks leveraging appropriate tools and techniques
Prepare and deliver presentations to clients, effectively communicating insights, recommendations, and the value of data science solutions
Build strong relationships with Visa partners and clients, and corresponding data science/analytics teams to drive collaboration and implementation of Visa recommendations, track impact
Ensure consistency, standards & quality control of data science work, with all project documentation up to date
Actively seek out opportunities to innovate by using Visa’s data, client’s data and non-traditional data fit for purpose to the needs of our clients
Enhance existing data science techniques by promoting new methodologies and best practices in the field
Promote thought leadership in the data science domain and build intellectual property through innovation
Effectively interact with clients and manage internal/external stakeholder communication
Mentor, guide and supervise data scientists in the project team
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Basic Qualifications
Degree (Masters or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Physics, Computer Science, Economics, or engineering or equivalent experiencePreferred Qualifications
Minimum 8 years of professional work experience preferably in banking, payments, fintech, or a related industry.Hands-on experience with data analytics/programming tools such as Python, R and advanced skills in querying using SQL or other query languages.Hands-on experience working in Big Data ecosystems such as Hadoop, Spark, Hive, Kafka, GCP, AWS, and Azure. Experience with both on-prem and cloud environments is a plus.Hands-on experience with BI tools such as Power BI and Tableau.Proficiency in statistical techniques such as 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 and concurrent analytics projects with diverse cross-functional stakeholdersStrong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style. Able to work effectively in a matrixed organizationExcellent presentation and storytelling skills, including strong oral and written capabilitiesStoryboarding and data storytelling including strong Excel and PowerPoint skillsIn-market experience and/or knowledge of local language, culture as well as industry regulations 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.