Senior Machine Learning Scientist - Consultant Level

Job Description

Join Visa's Ecosystem & Operational Risk group as a Senior Machine Learning Scientist - Consultant Level. In this role, you will be part of the Payment Fraud Disruption team, responsible for building critical risk and fraud detection and prevention applications and services. Your work will involve idea generation, architecture, design, development, and testing of products that provide Visa clients with solutions to detect, prevent, and mitigate fraud.

Key Responsibilities

• Design, enhance, and build next-generation fraud detection solutions in an agile development environment.
• Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.
• Work with software engineers to ensure feasibility of solutions.
• Deliver prototypes and production code based on need.
• Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems.
• Build needed data transformations on structured and unstructured data.
• Develop custom algorithms and use packaged tools based on machine learning, data mining, and statistical techniques.
• Implement methods for adaptive learning with controls on effectiveness, model validation, and A/B testing of models.
• Monitor model effectiveness and performance in production.
• Automate all parts of the predictive pipeline to minimize labor in development and production.
• Contribute to the development and adoption of shared predictive analytics infrastructure.
• Mentor and train other ML scientists on the team.
• Present technical solutions, capabilities, considerations, and features in business terms.
• Collaborate across engineering teams and leaders in Ecosystem & Operational Risk, Visa Research, AI Platform, Operations, and Infrastructure (O&I), security, and platform teams.

Qualifications

• 8 or more years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 2 years of work experience with a PhD.
• Expert in leading-edge areas such as Machine Learning, Deep Learning, Stream Computing, and MLOps.
• High level of competence in Python, Perl, Java, Scala, and/or Unix/Linux scripts.
• Extensive experience with SAS/SQL/Hive for extracting and aggregating data.
• Experience with Big Data and analytics leveraging technologies like Hadoop, Spark, Scala, and MapReduce.
• Deep learning experience working with TensorFlow and Natural Language Processing experience.
• Experience in developing large-scale, enterprise-class distributed systems of high availability, low latency, and strong data consistency.
• Experience in architecting solutions with Continuous Integration and Continuous Delivery in mind.

Additional Information

• This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week, with a general guidepost of being in the office 50% or more of the time based on business needs.
• 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 protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.