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Job Summary:
Visa is a world leader in payments and technology, seeking Data Scientists to leverage their vast data resources to solve meaningful business problems. The role involves collaborating with clients to understand their challenges, analyzing data to derive insights, and developing innovative solutions to enhance business outcomes.
Responsibilities:
• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
• Communicate with clients to understand the challenges they face and convince them with data
• Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
• Develop visualizations to make your complex analyses accessible to a broad audience
• Find opportunities to craft products out of analyses that are suitable for multiple clients
• Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications:
Required:
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
Preferred:
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• 2+ years’ experience in data-based decision-making or quantitative analysis
• Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus)
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Competence in Excel, PowerPoint and Tableau
• Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others)
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
Company:
Visa is a multinational financial services company that facilitates electronic payment systems throughout the world. Founded in 1958, headquartered in Foster City, California, USA, team size 10001+ employees, currently Public Company. Visa has a track record of offering H1B sponsorships.
