Sr ML Scientist
Sr ML Scientist
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Job Description
In Ecosystem & Operational Risk group Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation architecture design development and testing of products applications and services that provide Visa clients with solutions to detect prevent and mitigate fraud for Visa and Visa client payment systems.
The candidate for this role need to have strong ML and Data Science background with demonstrated experience in building training implementing and optimized advanced AI models for payments risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building AI/ML solutions for similar industries.
Essential Functions
- As a Senior ML Scientist you will help 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 inhouse and thirdparty data sets to test hypotheses on relevance and value of data to business problems.
- Build needed data transformations on structured and unstructured data.
- Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning data mining and statistical techniques.
- Devise and implement methods for adaptive learning with controls on effectiveness methods for explaining model decisions where necessary model validation A/B testing of models.
- Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
- Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
- Contribute to development and adoption of shared predictive analytics infrastructure.
- Mentor and train other ML scientists on the team on key solutions
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications:
2 years of relevant work experience and a Bachelors degree OR 5 years of relevant work experience
Preferred Qualifications
3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
Training and/or deep experience in mathematical concepts underlying statistics machinelearning algorithms and data structures.
Intermediate to Expert programming skills in at least one of Python C Scala.
Experience working with large datasets using tools like PySpark.
Experience in Java is a plus.
Experience in building and deploying models as microservices.
Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus.
Additional Information :
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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
