As the world’s leader in digital payments technology, Visa’s mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company’s dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

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

We are currently seeking data scientist to drive analytical projects and insights for Visa Analytics. The position will be based at Visa's office in Ashburn, VA.

The predictive modeling team within Visa Analytical Data Product is responsible for building and maintaining major consumer behavior models to solve business problem for clients and issuers. The team closely collaborates with other analytic 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.

We are open to different locations

Primary Responsibilities:

• Develop predictive risk models with artificial neural networks, gradient boosting trees, RNN, CNN and other advanced supervised and unsupervised 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 being innovative and applying the analysis

• Conduct transaction data analyses with Hadoop/Cloud and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods

Secondary Responsibilities:

• Support sales and marketing efforts with sound statistical and financial analysis; execute ad-hoc analyses to meet the fast-changing market demands

• Develop business requirements and appropriate statistical analysis/prototypes to meet critical business needs

• Derive and develop transaction attributes to grow analytic products

• Work on cross functional teams and collaborate with internal and external stakeholders

• Promote big data innovations and analytic education throughout the Visa organization

Basic Qualifications:

• 8 years of relevant work experience with a Bachelor’s Degree or 5 or more years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications: 

• 9+ years of relevant work experience with a Bachelor’s Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3+years of experience with a PhD

Primary Responsibilities:

• Develop predictive risk models with artificial neural networks, gradient boosting trees, RNN, CNN and other advanced supervised and unsupervised 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 being innovative and applying the analysis

• Conduct transaction data analyses with Hadoop/Cloud and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods

Secondary Responsibilities:

• Support sales and marketing efforts with sound statistical and financial analysis; execute ad-hoc analyses to meet the fast-changing market demands

• Develop business requirements and appropriate statistical analysis/prototypes to meet critical business needs

• Derive and develop transaction attributes to grow analytic products

• Work on cross functional teams and collaborate with internal and external stakeholders

• Promote big data innovations and analytic education throughout the Visa organization

• Graduate degree in a quantitative subject such as statistics, mathematics, economics, engineering, or similar disciplines

• 6+ year of experience in developing statistical predictive models

• Prefer modeling experience in bankcard industry or financial service company using for fraud, credit risk, bankruptcy, or marketing

• Real world experience using Hadoop and the related query engines (Hive / Impala)

• High level of competence in Python, Spark and Unix/Linux scripts

• Extensive experience with SAS/SQL/Hive for extracting and aggregating data

• Hands-on experience with deep learning preferred

• Must be detail-focused and have business oriented thinking

• Proven ability of handing multi-tasks and problem solving skill

• Demonstrated intellectual and analytical rigor, strong attention to details and excellent business writing, verbal communication, and presentation skills

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 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, reach with hands and arms, and bend or lift up to 25 pounds. 

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.