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


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

Experience Level: Junior/Associate
Work From: Onsite

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