Job Details

ID #20083984
State California
City Fostercity
Job type Intern
Salary USD TBD TBD
Source Visa
Showed 2021-09-22
Date 2021-09-22
Deadline 2021-11-21
Category Et cetera
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Masters Intern- Data Science, CyberSource

California, Fostercity 00000 Fostercity USA

Vacancy expired!

Job Description

The fraud and risk management team within CyberSource is responsible for designing and building machine learning models for detecting, preventing and managing fraud in e-commerce payment events. The team collaborates closely with Visa colleagues and other internal stakeholders to provide the advanced and multilayered fraud and risk management solutions to enterprise as well as small-to-midsized businesses.

We are currently seeking a Data Scientist intern to support fraud risk modeling projects and drive insights for CyberSource. Ideal candidates for this position will have a working background of statistics and machine learning techniques and tools. In addition, the candidate should have a proactive mindset for innovative researches and a highly collaborative approach to project work.

The internship will be based at Visa's office in Foster City, California. You will work collaboratively with a team composed of both data scientists and engineers to:

  • Build and validate risk models with advanced machine learning techniques
  • Interpret and present modeling and analytical results to all level audience
  • Conduct transaction data analyses for internal and external product owners, and develop deeper insights into the products using advanced statistical methods
  • Execute ad-hoc analyses to meet the fast-changing market demands
  • Drive analytic product development via conducting statistical analyses on various data sources; and add values to products by innovatively applying the analysis
  • Enhance existing solutions and approaches by promoting new methodology and best practices in data science field
  • Collaborate with internal and external stakeholders and cross-functional teams
  • Develop and present a project based on the work done during the internship

Qualifications

Basic Qualifications:

  • Currently enrolledin an Advanced Degree Program (e.g. Masters) Must be Graduating on or afterDecember 2022
  • Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications, and communications that demonstrate professional judgment.

Preferred Qualifications:

  • 2 years of work experience with an Advanced Degree (e.g. Masters)
  • Working experience in data science and analytical functions
  • Ability to analyze large datasets, extract information, features, anomalies, etc.
  • Ability to understand customer/client behavior, apply modeling and machine learning to business problems
  • Ability to communicate model outputs, performance internally and externally
  • Self-starter, curious, team player in dynamic environments.

Additional Information

Work Authorization

  • Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered.

Work Hours:

  • This position requires the incumbent to be available during core business hours.

Travel Requirements:

  • This position requires the incumbent to travel for work less than 0% of the time.

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, and reach with hands and arms.

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.

Vacancy expired!

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