1+ months

Sr Manager, Data Science (New Data and Tools) - Visa

Ashburn, Virginia

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.


Job Description

We are currently seeking Manager or Sr Manager level data scientist to evaluate alternative data sources and new tools for big data modeling and analytics. The data scientist will be a member of the Visa Predictive Models team reporting to the Sr Director of Data Science. The position will be based at Visa's office in Ashburn, Va.

The Visa Predictive Models team is responsible for building and maintaining production models in Visa to solve business problem for clients and issuers. The team closely collaborates with business customers, and other stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to customers. Responsibilities include delivering projects on time and within scope with an in-depth knowledge of big data and cutting edge data mining techniques as well as the use of predictive, classification, machine learning and alternate analytic algorithms for modeling and segmentation.


Primary Responsibilities

  • Evaluate alternative data sources and the tools for big data modeling
  • Make data and tool recommendation to Visa, based on incremental cost and benefit analysis
  • Build predictive models with modern AI and advanced machine learning techniques; interpret and present modeling and analytical results to non-technical audience
  • Compile complex predictive model packages for production deployment; support model installations, and monitor and calibrate production models
  • Define financial and analytic metrics to measure development and production outcomes and produce performance reports
  • Propel analytic product development via conducting statistical analyses on various data sources; and add values to products by innovatively applying the analysis
  • Conduct transaction data analyses with Hadoop and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods



  • Advanced degree in a quantitative subject such as statistics, mathematics, economics, engineering, or similar disciplines
  • Minimum of 3 years of experience in developing statistical predictive models
  • Proficiency with modeling software and knowledge in using Unix system; experience with Python, Java, Hadoop, HIVE, IMPALA, Artificial Neural Networks and XML are desirable, if not proven ability to quickly learn and apply is required.
  • Must be detail-focused and have business oriented thinking
  • Proven ability to apply new technologies and leverage appropriate analytical tools to predictive modeling
  • Proven ability of handling multi-tasks in a dynamic environment
  • Excellent business writing, verbal communication, and presentation skills


Additional Information

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

Product Development & ManagementUnited StatesVisa


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Sr Manager, Data Science (New Data and Tools) - Visa

Ashburn, Virginia

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Ashburn, Virginia

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