Senior Manager, Data Science

Key Skills

Java Programming, Python Programming, SQL, Apache Hadoop, Apache Hive, Apache Impala, SPARK Programming, SAS

Job Description

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 Arlington VA. Position also open to candidate in Foster City, Ca or Miami, FL.

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.

Responsibilities,

• Execute model implantation and performance tracking for risk models, generate performance analysis at the aggregate level, as well as issuer level. Interpret and present performance results to non-technical audience.
• Compile complex predictive model packages for production deployment, support model installations, and monitor and calibrate production models
• Propel analytic product development via conducting statistical analyses on various data sources, and add values to products by being innovative and applying the analysis
• Define financial and analytic metrics to measure development and production outcomes and produce performance reports
• Find opportunities to create and automate repeatable analyses or build self-service tools for business users
• Support sales and marketing efforts with sound statistical and financial analysis, execute ad-hoc analyses to meet the fast-changing market demands
• 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
• Ensure project delivery within timelines and meet critical business needs
• Work on cross functional teams and collaborate with internal and external stakeholders
• Promote big data innovations and analytic education throughout the Visa organization

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Qualifications

Basic Qualifications

• Minimum of Bachelor’s degree or equivalent

Preferred Qualifications

• 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
• Previous experience in artificial neural network, RNN, CNN, natural language processing or graph database analytics is desirable
• 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
• 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