Staff ML Scientist - Visa Research

  • Full-time
  • Job Family Group: Technology and Operations

Company Description

Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes thousands of transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Job Description

Visa Research conducts applied and fundamental research, and created to lead the company in pushing the boundaries of payment related technologies on a global scale. We engage with the company's numerous technology and product teams, world-wide business partners, academics, and governments, to explore and develop technologies that will shape the future of the payments industry and impact the lives of billions of people.  

We are currently focused on building world-class research teams in three key areas: Security, Data Analytics, and Future of Payment. Working on data analytics at Visa is a unique opportunity at a time when the payments industry is undergoing a digital transformation, and with AI as the critical differentiator for a growing number of emerging payment models and usage scenarios. We offer you the opportunity to be at the center of innovation in the payments industry and set the direction for Visa and the future payment ecosystem. 

 
This role will be part of a group that works in tight collaboration with product engineering, product management, and operations to ensure business effectiveness of products. We desire candidates with deep expertise in machine learning or statistics and experience in delivering predictive systems on big data. 

Essential Functions:

  • Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with Risk, Commercial and Merchant product management.  

  • Work with product development (engineering) to ensure implementation of solutions. Deliver prototypes and production code based on need. 

  • Work with Data Platform to drive availability of relevant data, tools, and infrastructure for group for experimental and development purposes.    

  • 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. 

  • Research and deploy methods for efficiently monitoring model effectiveness and performance in production. 

  • Develop 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  

Qualifications

Basic Qualifications:

  • PhD in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis. 

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

  • 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. 

  • Excellent understanding of algorithms and data structures. 

  • Excellent analytic and problem solving capability combined with ambition to solve real-world problems. 

  • Excellent verbal and written communication skills. 

Preferred Qualifications: 

  • Deep learning experience with TensorFlow is a plus. 

  • Experience with Natural Language Processing is a plus 

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

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

Additional Information

Work Hours Incumbent must make themselves available during core business hours.

Travel Requirements This position requires the incumbent to travel for work 5% of the time.

Mental/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.

Additional information

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.

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