Sr Software Engineer - Data Science

  • Austin, TX, USA
  • Full-time

Company Description

About Visa

We dream of a future where it’s easy to pay and be paid. Across the planet. Where ever. Whenever. Securely. Easily.We have a great toolbox of leadership technologies including CyberSource and Authorize.net. Together, we are building leading edge full-service Payment Management solutions combining global payment processing, fraud management and payment security systems.

We are looking for a talented Senior Software Engineer to join our Enterprise Payments team!

Job Description

  • Work with product owners to understand the desired application capabilities and testing scenarios.

  • Work with product development engineers and data scientists to ensure implement ability of solutions. Deliver prototypes and production code based on need.

  • Work with data scientists to ensure implement ability of solutions. Deliver prototypes and production code based on need.

  • Work within and across Agile teams to design, develop, test, implement and support technical solutions.

  • Continuously improve software engineering practices

  • Create documentation and procedures for installation and maintenance.

Qualifications

  • Recent graduate in MS in Computer Science, with strength in Deep Learning, Machine Learning, and Data Mining.

  • Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks.

  • 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   

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

  • Deep learning experience with TensorFlow 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.

Additional Information

 

  • Strong apetitie to learn new technology and take on challenges
  • Excellent verbal and written communication skills.
  • Excellent interpersonal skills and above all, you are team players!

 

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