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SeniorFull-timeData ScienceGitAIMLData
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join our Global Data Science group at Visa. This role involves solving complex data problems using Visa's rich dataset and technical toolkit, with opportunities to engage across various Data Science teams.
Key Responsibilities
- →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
- →Leverage AI coding tools to accelerate development
- →Be an out-of-the-box problem solver who applies data science techniques to help clients innovate and solve their problems
- →Run projects from scoping to delivery, engaging with internal/external partners
- →Develop and deploy ML pipelines, including RAG components, to deliver actionable client insights from transaction data
- →Build agentic AI systems with multi-step reasoning, tool use, and memory for complex payment decisioning workflows
- →Implement GenAI evaluation methods covering quality, bias, and compliance
- →Connect with clients to understand their challenges and convince them with data
- →Find opportunities to craft products out of analyses 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, including GenAI best practices, experimentation frameworks
- →Prioritize and lead multiple data science projects with diverse multi-functional partners
Requirements
- ✓Experience with predictive modeling and big data
- ✓Technical leadership skills
- ✓Proficiency with AI coding tools
- ✓Problem-solving abilities with a passion for data science techniques
- ✓Experience with ML pipelines and RAG components
- ✓Knowledge of agentic AI systems and GenAI evaluation methods
- ✓Strong communication and client interaction skills
- ✓Ability to synthesize ideas and engage in productive discussions
- ✓Mentorship experience in modern analytic techniques and business applications
- ✓This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
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