Data Scientist @ Visa

Job Information

Job Description:

Essential Functions

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
Find opportunities to create and automate repeatable analyses or build self-service tools for business users
Support sales and business 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
Promote big data innovations and analytic education throughout the Visa organization

Qualifications

Basic Qualifications

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

Preferred Qualifications

3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
Preference given to candidates with multiple years working experience in predictive modeling functions
Candidates with a PhD in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering preferred
Strong background in two or more of the following areas: machine learning, AI algorithms, computations, statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
Experience with a range advanced techniques and emerging approaches to big data and data science (Python, Spark, TensorFlow, H2O, etc), extensive experience with SAS, SQL, Hive for extracting and aggregating data
Good oral and written communication skills and attention to details
Must be a team-player and capable of handling multi-tasks in a dynamic environment
Visa and financial, payment industry knowledge or previous experience with fraud modeling is a plus, but not required

Benefits:
Experience Level: Junior/Associate
Work From: Onsite