Table of Contents
Visa Recruitment 2024 Details :
Visa Job Recruitment 2024 Eligibility Criteria :
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Job description
The Staff ML Scientist will work with a team to conduct world-class Applied AI research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visas strategic products and business. This role represents an exciting opportunity to make key contributions to Visas strategic vision as a world-leading data-driven company. The successful candidate must have strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.
Essential Functions
- Formulate business problems as technical data problems while ensuring key business drivers are collected in collaboration product stakeholders.
- Work with product engineering to ensure implement-ability 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 un-structured 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, analytics, and statistical techniques.
- Devise and implement methods for adaptive learning with controls on efficiency, methods for explaining model decisions where vital, model validation, A/B testing of models.
- Devise and implement methods for efficiently monitoring model efficiency 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.
Basic Qualifications:
5+ years of relevant work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant wor
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