Sr. Data Scientist

Job Description

We are currently seeking a senior data scientist to drive analytical projects and insights for Visa Predictive Modeling team based at Visa’s office in Atlanta, GA.

The predictive modeling team within Visa Value-Added Services 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.

Essential Functions

• Validate newly developed risk models, generate performance analysis at both aggregate and issuer levels, and interpret and present results to non-technical audiences.
• Prepare new model testing packages for production deployment, and support model installations and calibration.
• Drive analytic product development by conducting statistical analyses on various data sources and enhance products through innovative applications of the analysis.
• Define financial and analytic metrics to measure development and production outcomes and roduce performance reports.
• Identify opportunities to automate repeatable analyses or build self-service tools for business users.
• Support sales and marketing efforts with robust statistical and financial analysis, perform ad-hoc analyses to respond to fast-changing market demands.
• Analyze transaction data using Hadoop/Cloud and big data technologies for internal and external product owners and develop deeper insights into products using advanced statistical methods.
• Develop and derive transaction attributes to enhance analytic products.
• Ensure project delivery within timelines and meet critical business needs.
• Collaborate with cross-functional teams and engage with internal and external stakeholders.
• Advocate for big data innovations and promote analytic education throughout the 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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

• 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications

• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Graduate degree in a quantitative field such as statistics, mathematics, economics, engineering, or related disciplines.
• Multiple years of experience in predictive modeling functions preferred.
• Modeling experience in the bankcard industry or financial services, particularly for fraud, credit risk, bankruptcy, or marketing, is preferred.
• At least 3 years of experience with big data tools (e.g. Hive, Spark, Scala) and practical experience using Hadoop and related query languages.
• High proficiency in Python, Spark, and Unix/Linux scripting.
• Extensive experience with SQL/Hive for data extraction and aggregation.
• Hands-on experience with deep learning is preferred.
• Proven team player with strong multi-tasking and problem-solving skills.
• Demonstrated intellectual and analytical rigor, strong attention to detail, and excellent business writing, verbal communication, and presentation skills.

**No Relocation will be offered for this position -- this is on site role (Hybrid) in our Atlanta Office