Visa
ScalingFintech · Card network
Currently tracking 3 active AI roles, down 42% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $124k–$233k (avg $183k).
Hiring
3 / 3
Momentum (4w)
↓-8 -42%
11 opens last 4w · 19 prior 4w
Salary range · avg $183k
$124k–$233k
USD · disclosed roles only
Tracked since
8w ago
last role today
Hiring velocityscroll left for older weeks
Jobs (3)
| Title | Stage | AI score |
|---|---|---|
| Sr. Data Scientist Visa is seeking a Sr. Data Scientist in Washington, DC to build and use predictive models for customer experiences, revenue generation, and advertising targeting. The role involves managing client relationships, providing technical leadership, applying data science techniques to unique datasets, and developing scalable products. Responsibilities include data workflow orchestration, statistical hypothesis testing, data visualization, leading projects from scoping to delivery, and mentoring junior team members. Requires experience with large datasets, ML model development, data automation (MLOps), statistical testing, and communication with non-technical stakeholders. Experience in the payments landscape is also required. | Ship | 7 |
| Data Scientist Data Scientist role at Visa focused on developing and implementing risk models, analyzing transaction data using big data technologies, and deploying/monitoring these models in production. The role involves statistical analysis, machine learning, and potentially deep learning and NLP for risk assessment and product insights within the fintech domain. | Serve | 7 |
| Sr. Data Scientist Visa is seeking a Sr. Data Scientist to design, develop, and deliver personalization models and signals for AI products and services globally. The role involves executing data science capabilities in personalization, designing large-scale data science systems, applying advanced techniques for business impact, and working with cross-functional teams. Requires expertise in Deep Learning, Machine Learning, Recommendation Systems, Generative Models, Python, Spark, Scikit-learn, and deep learning libraries. | Agent | 7 |