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
The Global Data Science group supports our bank and merchant partners by using our extraordinarily rich data sets that span more than 4 billion cards globally and captures more than 190 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. To support our rapidly growing group, we are looking for Data Scientists who are passionate about the opportunity to use Visa’s rich data to address and deliver significant results to complex problems!
Essential Functions:
- Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
- Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
- Be an out-of-the-box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face
- Running projects from scoping to delivery, and engaging with internal/external partners
- Connect with clients to understand the challenges they face and convince them with data
- Find opportunities to craft products out of analyses that are suitable for multiple clients
- Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions
- Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
- Provide mentorship in modern analytic techniques and business applications
- Prioritize and lead multiple data science projects with diverse multi-functional partners
Qualifications
Basic Qualifications
- 4 years relevant work experience with a masters degree in an analytical field such as statistics, operations research, economics, computer science, or a related field, graduating January 2024 - August 2025
Preferred Qualifications
- Analyzing large data sets using programming languages such as Python, R, SQL, Hive and/or Spark
- Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, or others
- Presenting evidence-based insights and conveying relevant recommendations
- Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
Additional Information
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $155,300 - $202,000 USD 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.
Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered.
Work Hours: Varies upon the needs of the department
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.
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.
Top Skills
What We Do
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.
We are looking for people like YOU. Come join a people-centric company where you can invest in your career.
For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.
Why Work With Us
Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.