Associate Data Scientist, New College Grad 2026

The Global Data Science team at Visa leverages our rich data - spanning over 3 billion card accounts and 100 billion transactions per year- and other third-party data sources to solve meaningful business problems.  

We are seeking an Associate Data Scientist to support the data science efforts for Visas Global Cross-Broder team. The role is part of the Global Data Office and will work closely with senior data scientists and business partners in day-to-day operations. This associate will contribute in executing an analytics agenda that delivers insights and AI-powered solutions to improve Visas products and services.  

Essential Functions: 

Hands-On Data Science & Innovation 

• Contribute to the development and deployment of analytics and machine learning models supporting use cases from data exploration through validation and implementation under guidance from senior team members. 
• Apply Generative AI techniques (e.g. prompt engineering LLMbased text analysis summarization and classification) to enhance data analysis insight generation and internal workflows. 
• Leverage largescale datasets using SQL Python R Hive or SAS combining traditional statistical methods with ML and GenAIassisted approaches to uncover trends and actionable insights. 
• Use AIpowered development tools (e.g. coding assistants AutoML and notebook automation) to accelerate experimentation improve code quality and increase productivity. 
• Build and maintain BI dashboards and reports and support user adoption through documentation walkthroughs and guidance on best practices for BI usage. 
• Develop intuitive visualizations and dashboards to communicate insights and model outputs to technical and non-technical audiences. 
• Support model deployment and monitoring efforts collaborating with data engineering teams and following established MLOps data governance and responsible AI guidelines. 

Business Partnership & Strategy 

• Partner with product marketing operations and finance teams to understand business questions and translate them into analytical tasks. 
• Assist in framing business problems into analytical approaches contributing to datadriven solutions that inform product and operational decisions. 
• Present insights and recommendations using structured storytelling clearly explaining assumptions limitations and potential business impact. 
• Support prioritization of analytics initiatives by considering business value data availability and technical feasibility in collaboration with senior team members. 

Cross-Functional Collaboration 

• Communicate technical findings in simple actionable terms to nontechnical partners and stakeholders. 
• Help drive adoption of analytics solutions by validating results documenting methodologies and demonstrating how insights address real business needs. 
• Collaborate closely with crossfunctional teams to iterate on analyses and improve solutions based on feedback. 

Qualifications :

Basic Qualifications 

• Bachelors orMasters degree in Computer Science Computer Engineering CIS/MIS CybersecurityStatistics Businessor a related field graduatingMay2025 - August 2026. 

Preferred Qualifications 

• 2 years of experience in data analysis quantitative modeling or data driven decision making in an academic or professional setting. 
• Proficiency in SQL and Python for data analysis and modeling. 
• Experience extracting transforming aggregating and analyzing large datasets using SQL Python R and Spark including exploratory data analysis and feature engineering.  
• Handson experience using Generative AI or AIassisted tools (e.g. LLMs coding assistants AutoML) to support data analysis insight generation or workflow efficiency. 
• Applied experience with Generative AI techniques such as prompt engineering text summarization classification or LLM assisted analysis through coursework projects or professional work. 
• Familiarity with responsible AI considerations including data privacy bias awareness and model limitations. 
• Solid foundation in statistics and machine learning including regression classification and model evaluation techniques. 
• Hands on experience building descriptive and predictive models using machine learning libraries and tools such as scikit learn Jupyter notebooks Python R and/or SAS. 
• Exposure to data mining and statistical modeling techniques including regression clustering decision trees and related methods. 
• Experience in building and maintaining BI solutions using tools like Tableau Power BI or similar platforms including metrics definitions semantic layers data quality validation and user support.  
• Effective communication and collaboration skills with the ability to explain data driven insights clearly to business stakeholders and translate analysis into actionable recommendations for technical and non-technical audiences.  
• Experience organizing and managing analytical work using productivity tools such as Excel Word PowerPoint and collaboration platforms (e.g. Teams). 
• Exposure to financial services payments credit cards or merchant analytics is a plus but not required. 

Additional Information :

U.S. APPLICANTS ONLY:The estimated salary for a new hire into this position is $120000 whichmay include potential sales incentive payments (if applicable).Salary may vary depending on job-related factors which may include knowledge skills experience and addition this position may be eligible forbonusand 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. 

Travel Requirements:This position requires travel5-10% 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 telephonefrequentlyoperatestandard 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 alsoconsider foremployment 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. 

Remote Work :

No

Employment Type :

Full-time