Data Science Manager

Team Summary:

Visa Consulting & Analytics (VCA) is Visas consulting division serving Visas clients (including card issuers acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting payments data analytics marketing operational and macroeconomics VCA drives high impact and tangible financial results. Managed Services (VMS) is one arm of VCA focused on delivering capability and expertise to clients.

What a DS Manager will do and learn at Visa:

The DS Manager will serve as an individual contributor and a member of the VCA Data Labs team reporting to the Data Labs Lead AP. This position will be based in Visas India office in Bengaluru.

Key responsibilities include:

• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations
• Support defining methodology creating and executing on the data framework with appropriate methodologies
• Clearly communicate the findings and recommendations from analysis drive deployment and implementation of analytics solutions and track business value impact
• Work with VisaNet (i.e. Visas transaction data) clients and 3rd party data sources to create advanced data-driven solutions and dashboards
• Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients
• Engage with and manage internal stakeholders across different data projects in AP

Why this is important to Visa:

As payments consulting arm of Visa VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology finance and commerce with cutting-edge creative and advanced analytic solutions. The purpose of the team is to help Visas clients grow their business and solve problems by providing consulting services using data.

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

Qualifications :

We are looking for a motivated analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of experience be curious about payments industry and application of data analytics be results-driven and client-centric.

• Degree (Masters or higher would be an advantage) in IT Computer Science Data Science AI Machine Learning Business Analytics or equivalent experience
• Minimum 8 years of professional experience in Data Analytics/ Data Science/ AI/ Machine Learning
• Deep analytical expertise in applying statistical solutions to business problems
• Experience with extracting and aggregating data from large data sets using SQL Hive Spark or other tools
• Experience on programming languages (Python and/or C or more) ML/DL tools Scikit-learn Tensorflow or PyTorch and proficiency in one or more 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
• Experience working with visualization tools such as Tableau and Power BI
• Excellent presentation and storytelling skills including strong oral and written capabilities
• Role requires the incumbent to travel to client locations

What will also help:

• Experience in analytics for retail banking card issuing or consulting to retail banks
• Good understanding of payments and banking
• Story boarding and data story telling including strong PowerPoint and Excel skills
• Experience in working closely with data science community

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