Senior Staff SW Engineer - Data Science MAP PD

  • Foster City, CA, USA
  • Full-time

Company Description

CyberSource, a Visa company, is a global leader in e-Commerce Payment Management. As part of CyberSource’s continued growth and expansion we are looking for talented, articulate and bright individuals who want to make a difference.

CyberSource has been and continues to be a pioneer within the e-Commerce Payment Management world. CyberSource offers a full-service payment management platform for e-commerce merchants, combining
global payment processing, fraud management and payment security systems.

Job Description

As a Senior Staff Software Engineer based in Foster City, You serve as a lead data scientist in leading and supporting various analytical initiatives with in CyberSource .You are responsible in developing and delivering predictive analytic capabilities that get incorporated into CyberSource products in a variety of domain such as Payment,  Risk , Fraud of Merchant and Partner areas.  

This role will be part of a group that works in tight collaboration with different  product development, product management, and operations to ensure business effectiveness of products.  

We desire candidates with deep expertise in machine learning and statistics experience in delivering data products using big data and data science

Qualifications

·        Strong understanding of algorithms and data structures.

·        Strong analytic and problem solving capability combined with ambition to solve real-world problems.

·        Results orientation with ability to plan work and work in a team   

·        Strong verbal and written communication skills.

·        Deep learning experience with TensorFlow is a plus.

·        Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive is a plus.

·        Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++ or C#.

·        Experience with one or more common statistical tools such SAS, R, KNIME, Matlab.

·        Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus.

·        Proficiency in architecting & solving classification/prediction problems using open source libraries such as Scikit learn.

·        Proficiency in data manipulation using Python tools such as Pandas, Numpy etc.

Additional Information

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code.

All your information will be kept confidential according to EEO guidelines.

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