GCC Data Science Manager

• Build long term relationship with large GCC clients including client business and Data Science teams
• Manage full spectrum of VCA project journey starting from sales proposal building pricing project kickoff execution story building to post project implementation support
• Liaise with VCA leadership and participate in proposal approval meetings to get internal project approvals
• Develop and strengthen GCC Data Science risk capabilities and develop new risk solutions for the clients
• Responsible for developing analytics and model-based solutions for Visas issuer acquirer merchant fintech clients addressing challenges such as market opportunity sizing prospect targeting cross sell/upsell cross-channel marketing implementation risk fraud and more general portfolio optimization programs
• With focus on building efficiency find opportunities to automate the project pipeline of recurring projects using latest Data Science techniques
• Review direct guide and inspire the analytical work of junior members in the team
• Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based
• Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visas growth in the region
• Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights
• Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges
• Collaborate with internal Technology partners and Data Engineering function to best leverage Visas internal technology platforms data and the broader Visa ecosystem to support our clients technical data needs
• Manage workload for self and any direct reports providing prioritization guidance for project flow to improve process efficiency
• Manage and grow talent within the team
• Develop share and build global best practices and knowledge management within the team
• Socialize innovative ideas and approaches that are scalable and have market demand
• Champion internal requirements around Model Risk Management Visa Analytics Rules and Global Privacy standards around client delivery to ensure that Visas highly regarded market standing is maintained

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Minimum of 8 years of expertise in applying Machine Learning solutions to business problems model development and production experience required
Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics Mathematics Data Science Operational Research Computer Science Informatics Economics or Engineering
Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments retail banking or retail merchant industries
Good understanding of Payments and the Banking industry including card verticals such as consumer credit consumer debit prepaid small business commercial and co-branded product
Expert knowledge of data market intelligence business intelligence and AI-driven tools and technologies with demonstrated ability to incorporate new techniques to solve business problems
Experience planning organizing and managing multiple large projects with diverse cross-functional teams including resource planning and delivery implementation
Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels
Proven ability to deliver results within committed scope timeline and budget
Very strong people/project management skills and experience
Ability to travel within GCC on short notice

Technical Expertise:
Expertise in distributed computing environments / big data platforms (Hadoop Elasticsearch etc.) as well as common database systems and value stores (SQL Hive HBase etc.)
Familiarity with workings of Large Language models and ability to develop agents
Capability to develop front end UI/UX would be plus
Strong programming ability in different programming languages such as Python Spark R Scala Java Matlab C and SQL
Experience in drafting solution architecture frameworks that rely on APIs and micro-services
Familiarity with common data modeling approaches and ability to work with various datatypes including JSON XML etc.
Ability to build data pipelines (e.g. ETL data preparation data aggregation and analysis) using tools such as NiFi Sqoop Ab Initio familiarity with data lineage processes and schema management tools such as Avro
Proficient in some or all of the following techniques: Linear & Logistic Regression Decision Trees Random Forests K-Nearest Neighbors Markov Chain Monte Carlo Gibbs Sampling Evolutionary Algorithms (e.g. Genetic Algorithms Genetic Programming) Support Vector Machines Neural Networks etc.
Expert knowledge of advanced data mining and statistical modeling techniques including Predictive modeling (e.g. binomial and multinomial regression ANOVA) Classification techniques (e.g. Clustering Principal Component Analysis factor analysis) Decision Tree techniques (e.g. CART CHAID)

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time