Data Scientist

Visa•Washington, DC

7d•Hybrid

About The Position

Visa U.S.A. Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Washington, DC to: Conduct model development and implementation for risk models; generate performance analysis at both the aggregate and issuer levels. Interpret and present performance results to non-technical audiences. Compile complex predictive model packages for production deployment; support model installations and monitor and calibrate models in production. Propel analytic product development by conducting statistical analyses on various data sources; add value to products through innovation and application of insights. Identify opportunities to automate repeatable analyses or build self-service tools for business users. Support sales and business initiatives with sound statistical and financial analysis; perform ad-hoc analyses to meet fast-changing market demands. Analyze transaction data using Hadoop/Cloud and big data technologies for internal and external product owners; develop deeper product insights using advanced statistical methods. Ensure timely project delivery and alignment with critical business needs. Promote big data innovation and analytics education across the Visa organization. Position reports to the Washington, DC office and may allow for partial telecommuting.

Requirements

Master's degree in Analytics, Statistics, Data Science, Computer Science, or related field
2 years of experience in the job offered or in a Data Scientist-related occupation
Python
Deep Learning
Natural Language Processing
Predictive Modeling
Large-scale Embedding Models
Machine Learning
Model Development
Model Validation
ML Pipeline Development
Data Analysis
Spark
Hive
SQL
Git

Responsibilities

Conduct model development and implementation for risk models
Generate performance analysis at both the aggregate and issuer levels
Interpret and present performance results to non-technical audiences
Compile complex predictive model packages for production deployment
Support model installations and monitor and calibrate models in production
Propel analytic product development by conducting statistical analyses on various data sources
Add value to products through innovation and application of insights
Identify opportunities to automate repeatable analyses or build self-service tools for business users
Support sales and business initiatives with sound statistical and financial analysis
Perform ad-hoc analyses to meet fast-changing market demands
Analyze transaction data using Hadoop/Cloud and big data technologies for internal and external product owners
Develop deeper product insights using advanced statistical methods
Ensure timely project delivery and alignment with critical business needs
Promote big data innovation and analytics education across the Visa organization