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Visa

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3.5

based on 357 Reviews

Video summary

114 Visa Jobs

Staff Data Scientist - (AI/ML, Python)

Visa Inc

3.5

based on 357 Reviews

5-10 years

Bangalore / Bengaluru

1 vacancy

Staff Data Scientist - (AI/ML, Python)

Visa

posted 17hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python Automation Testing Linux Administration Data Mining MATLAB

+ 3 more

Job Description

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
To be successful in this role, the candidate need to be a technical leader with the ability to engage in high bandwidth conversations with business and technology partners and be able to think broadly about Visa s business and drive solutions that will enhance the safety and integrity of Visa s payment ecosystem
The candidate will help deliver innovative insights to Visas strategic products and business
This role represents an exciting opportunity to make key contributions to strategic offering for Visa
This candidate needs to have strong academic track record and be able to demonstrate excellent software engineering skills
The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills
The ideal candidate will bring the excitement and passion to leverage Generate AI to advance existing fraud detection mechanisms and to innovate and solve new fraud use cases
This engineer will use code generation capabilities like GitHub copilot to drive efficiencies in software development

Essential Functions

As a Staff Data / 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 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, 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
Able to work on multiple projects and initiatives with different/competing timelines and demands.
Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner
Collaborate across engineering teams and leaders in Ecosystem& Operational Risk, Visa Research, AI Platform, Operations, and Infrastructure (O&I), security and platform teams.

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+ ye

Employment Type: Full Time, Permanent

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