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Senior Data Scientist

Visa, Arlington VA, US

Everywhere you want to be

Duration: Full-Time


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 outstandingly rich data set that spans more than 3 billion cards globally and collects 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 hiring Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to solve meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, and marketing) with a rotational opportunity within Data Science to gain broad exposure to Visa’s business. 

Essential Functions 

  • Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients 

  • Brainstorm innovative ways to use our unique data to answer business problems 

  • Connect 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 sophisticated analyses accessible to a broad audience 

  • 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 

  • 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 efficiency 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, and other business outcomes 

  • Partner with a variety of Visa teams to provide comprehensive 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 to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques 

  • Prioritize and lead multiple data science projects with diverse multi-functional partners 

 

 


Basic Qualifications 

  • 4 years of work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Master’s, MBA, JD, MD) or 0 years of work experience with a PhD degree 

Preferred Qualifications 

  • 6-8 years of work experience with a Bachelor’s Degree or 4-6 years of work experience with an 

  • Advanced Degree (e.g. Master’s, MBA, JD, MD) or 3 years of experience with a PhD 

  • 4+ years’ experience in data-based decision-making or quantitative analysis 

  • Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field 

  • Extracting and aggregating data from large data sets using SQL/Hive or Spark 

  • Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark 

  • Generating and visualizing data-based insights in software such as Tableau 

  • Communicating evidence based insights and conveying relevant recommendations 

  • Leading and coordinating work in Office software 

  • Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS 

  • Data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) 

  • Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required 

  • Running projects from scoping to delivery, and engaging with internal/external partners 


Visa has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

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.

About Visa

Visa Inc. (NYSE: V) is the world’s leader in digital payments. Our mission is to connect the world through the most innovative, reliable and secure payment network - enabling individuals, businesses and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company’s relentless focus on innovation is a catalyst for the rapid growth of connected commerce on any device, and a driving force behind the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

Want to learn more about Visa? Visit Visa's website.