Data Scientist at Visa

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

180600.0

Posted On

13 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Excel, PowerPoint, Tableau, Python, R, Statistical Analysis, Predictive Modeling, Data Visualization, Client Communication, Data Mining, Business Strategy, Data Modeling, Algorithm Development, Data Gathering

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business. The role will be based in Atlanta, GA Essential Functions: 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. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 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 Qualifications: 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, R, Stata or others) Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. 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. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 116,800.00 to 180,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Job Family Group: Product Development

Responsibilities

The Data Scientist will brainstorm innovative ways to use data to solve business problems and communicate with clients to understand their challenges. They will also develop visualizations and custom data models to drive business solutions.