About Us 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 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 As an Associate Data Scientist, New College Grad, you will be a valuable contributor to one of Visa's dynamic data science teams. You will have the opportunity to apply your academic training and early professional experience to real business problems, build new technical and analytical skills, and contribute to work that helps advance Visa's products, services, and data-driven decision-making.
The Global Data Office brings together data scientists, analysts, statisticians, and business partners to develop analytical solutions using large-scale and complex datasets. This role will support analytics, data science, business intelligence, and machine learning work through a collaborative process with senior data scientists and cross-functional stakeholders.
All Visa roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g., ChatGPT, Microsoft Copilot) to support everyday work.
Remember, at Visa, we see our employees as our most valuable asset and we are excited to support and witness your growth within our organization.
Responsibilities may include:
- Prepare, cleanse, integrate, and manage large datasets using tools such as Python, SQL, Spark, Hive, R, or SAS.
- Conduct exploratory, statistical, and machine learning-based analyses to uncover trends, patterns, and actionable business insights.
- Support the development, validation, and deployment of analytical models and data science solutions under guidance from senior team members.
- Build, maintain, and enhance dashboards, reports, and BI tools using platforms such as Tableau, Power BI, or similar tools.
- Apply Generative AI or AI-assisted techniques, such as prompt engineering, text summarization, classification, or coding assistants, to improve analytical workflows and insight generation.
- Partner with product, strategy, marketing, operations, finance, and technology stakeholders to translate business questions into analytical approaches.
- Present findings and recommendations through clear data storytelling, explaining assumptions, limitations, and potential business impact to technical and non-technical audiences.
- Document methodologies, validate results, support user adoption, and recommend improvements to tools, processes, and analytical techniques.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications Basic Qualifications :
- Less than 6 months of relevant work experience with either Bachelor's or Master's degree graduating May 2026 - August 2027
Preferred Qualifications - Coursework, internship, project, or early professional experience in data analysis, quantitative modeling, data science, or data-driven decision-making.
- Proficiency in SQL and Python for data analysis, data wrangling, modeling, and automation.
- Experience extracting, transforming, aggregating, and analyzing large datasets using tools such as SQL, Python, R, Spark, Hive, or SAS.
- Solid foundation in statistics and machine learning, including regression, classification, clustering, model evaluation, exploratory data analysis, and feature engineering.
- Experience with visualization and reporting tools such as Tableau, Power BI, Excel, PowerPoint, or similar platforms.
- Exposure to Generative AI or AI-assisted tools, including LLMs, coding assistants, AutoML, prompt engineering, text summarization, classification, or LLM-assisted analysis.
- Familiarity with responsible AI considerations, including data privacy, bias awareness, model limitations, and appropriate use of emerging technologies.
- Ability to communicate data-driven insights clearly to business stakeholders and translate analysis into actionable recommendations.
- Intellectual curiosity, strong collaboration skills, and a desire to continue learning in a fast-paced, cross-functional environment.
- Exposure to financial services, payments, credit cards, or merchant analytics is a plus, but not required.
U.S. APPLICANTS ONLY: The estimated salary for a new hire into this position is $124,800 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: Expectation of days in office will be confirmed by your hiring manager.
Information for US Applicants For roles located in the US, the estimated salary range for this position is $ to $ 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.
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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law. Visa_Talent_Portal
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