Data Scientist - Manager Level

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

This role will be responsible for driving and executing the VXBS (Visa-Cross-Border-Solutions) / CurrencyCloud Insights roadmap, supporting key Data Science initiatives with an initial focus on Fraud. This will be accomplished through collaborating with Business leaders, Technology and Product teams to understand strategic objectives, systems, and Data Science needs.

This role is well suited to a Data Scientist with solid experience in Product or Payments industries, or previous Fraud Detection experience, looking to learn more about cross border money movement and interested in delivering value and driving growth in this space.

• Essential Functions

• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to solve business problems

• Communicate with internal clients to understand the challenges they face and support them through Data Science solutions

• Extract and understand data to form an opinion on how to best help the stakeholders and derive relevant insights

• Develop visualizations to make your complex analyses accessible to a broad audience

• Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions

• Mine and analyze data from company databases to drive optimization and improvement of product, marketing , sales techniques and business strategies for Visa

• 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.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Preferred Qualifications
- Relevant work experience
- 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
- Previous experience within Fraud detection is a plus

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.