Associate Data Scientist, Visa Predictive Models
Foster City, CA

Job Description

Visa has the world's largest consumer payment transaction data set. We see data on over 100 billion transactions per year from all over the world. We use that data to help our clients in the payment ecosystem grow their businesses and to help consumers access a fast, safe, and rewarding payment experience.

From across the globe, people are increasingly relying on digital payments and mobile technology to use their money any time, make purchases online, transfer funds across borders and access basic financial services. To ensure that payment transactions are secure and reliable, Visa has invested heavily in advanced authentication and fraud prevention technologies, and the company continues to develop and deploy new and innovative programs to fight fraud, enable acceptance, and support consumers. We also invest heavily in helping banks and merchants understand the behavior of their customers so they can bring products and services to market that more effectively meet their customers' needs.

Do you enjoy using data and building models to drive tangible business outcomes?

We are seeking a passionate and ambitious Associate Data Scientist (entry level) to collaborate with our product managers and deliver data products that drive growth for our merchant and issuer clients.

Reporting to the Director of Models for Credit and Data Products, in this role you will provide predictive modeling support for the Visa Advertising Solutions (VAS) team. VAS is a rapidly growing team that is central to the future success of the Data Products organization.

This role will be based in Foster City, CA.

Essential Functions

* Collaborate with VAS product managers to solve a variety of consumer behavior predictive modeling problems


* Act as a subject matter expert and advisor to VAS on modeling options that will meet their business objectives.


* Develop and execute project plans based on the agreed upon analytic frame work and business problem


* Ensure projects are completed on time and with a high degree of accuracy


* Build production scoring code that must run efficiently and reliably at scale


* Ensure all models are following the established rules for data privacy and governance of production models


* Stay up-to-date on the latest developments in machine learning and AI.



Basic Qualifications

* Minimum of 6 months of work experience with a Master's Degree


* Degree in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering


* Successful internships or 1 year of experience in a predictive modeling function



Preferred Qualifications

* 2 or more years of work experience with a Master's Degree


* 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, Dask, etc)


* Previous experience with digital advertising, A/B testing for advertising or advertising audience creation is preferred


* Visa and financial/payment industry knowledge is a plus, but not required



Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, reach with hands and arms, and bend or lift up to 25 pounds.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code.

All your information will be kept confidential according to EEO guidelines.