We are expanding our team and seeking an experienced Data Scientist to drive AI/ML innovations and solutions at scale. The ideal candidate will be responsible for designing, implementing, and managing production-ready ML models and MLOps pipelines.
Key Responsibilities
- Design, deploy, and manage large-scale ML models.
- Build and optimize MLOps pipelines for continuous integration, deployment, monitoring, and model validation.
- Develop automated pipelines for model inference, validation, quality checks, and retraining.
- Perform model performance evaluation, optimization, and troubleshooting.
- Implement ETL processes ensuring high data quality, validation, and processing efficiency.
- Collaborate with cross-functional teams to improve frameworks, tools, and methodologies.
- Utilize Visa’s extensive data assets to develop innovative, data-driven analytical solutions.
- Adhere to Model Risk Management (MRM) guidelines for approval and production readiness.
- Optimize MLOps processes using best practices in sampling techniques, batch processing, distributed frameworks, and code optimization.
- Ensure scalability and efficiency of ML solutions for a global user base.
Key Qualifications
Essential
- 5+ years of experience in AI/ML solutions for large-scale applications.
- Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or related fields.
- Strong expertise in Machine Learning, Model Monitoring, MLOps, and Statistical Analysis.
- Proficiency in Python, PySpark, SQL, Hive, Airflow, and Hadoop ecosystem.
- Experience with Classification, Regression, Clustering (e.g., Random Forest, XGBoost, K-Means, Logistic Regression).
- Hands-on experience with big data frameworks and scheduling tools like Airflow, Oozie.
- Understanding of data validation, performance monitoring, and automation frameworks.
- Experience working in Linux/Unix environments and command-line utilities.
Preferred
- Knowledge of marketing models, customer churn models, and imbalanced datasets.
- Strong problem-solving skills with business acumen.
- Ability to collaborate across multiple teams to build scalable ML solutions.
- Experience with risk process adherence and model approval documentation.
Why Join Visa?
- Work with cutting-edge AI/ML technologies on a global scale.
- Opportunity to make a significant impact in the payments industry.
- Collaborative and innovative work environment.
- Competitive compensation and benefits package.
Join us and be part of a purpose-driven team revolutionizing payments through data science!
Visa is an equal opportunity employer and welcomes diverse talent. Qualified applicants will receive consideration without regard to race, gender, religion, disability, or veteran status.