Company Description|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 & to help consumers access a fast, safe, & rewarding payment experience.
From across the globe, people are increasingly relying on digital payments & mobile technology to use their money any time, make purchases online, transfer funds across borders & access basic financial services. To ensure that payment transactions are secure & reliable, Visa has invested heavily in advanced authentication & fraud prevention technologies, & the company continues to develop & deploy new & innovative programs to fight fraud, enable acceptance, & support consumers. We also invest heavily in helping banks & merchants understand the behavior of their customers so they can bring products & services to market that more effectively meet their customers' needs.
Do you enjoy building models, creating efficient scoring code & deploying this code at scale?
We are seeking a passionate & innovative data scientist & Apache Spark expert to collaborate with our modeling & technology teams to create & deploy production scoring code. Reporting to the VP of Models for Credit & Data Products, in this role you will join a team of data scientists whose mission is to create predictive models which form the foundation for many of Visa's Data Products.
This product development role requires organization, discipline, attention to detail & the ability to create scoring code at scale (scoring 2 billion+ records per month). We are therefore looking for a data scientist that is as comfortable building ML/DL models as they are coding for production in Scala or PySpark.
The preferred location for the successful candidate is based at Visa's headquarters in the San Francisco Bay Area (Foster City, CA). For exceptional candidates & circumstances our office in the Washington, DC Metro Area (Ashburn, VA) would also be considered.
Collaborate with product managers to solve a variety of predictive modeling problems to support data products for marketing, credit risk & operational efficiency.
Rapidly prototype proof of concept solutions that can demonstrate utility, value & lead to scalable solution
Build production scoring code that must run efficiently & reliably at scale
Contribute to re-usable data assets that may be leveraged across projects
Provide guidance & coaching to other team members on best practices for code creation & deployment.
Ensure all models are following the established rules for data privacy & governance of production models
Stay up-to-date on developments in the field of scalable scoring solutions & propose long term capability buildup
4 years of work experience with a Master's Degree or at least 2 years of work experience with PhD
Minimum 6 years of experience in a predictive modeling or data engineering function
Master's degree in a quantitative discipline with a focus on Computer Science or Software Engineering
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 & deep learning.
- 6 years of work experience with a Master's Degree or 3 years of experience with a PhD.
PhD in a quantitative field would be preferred.
2 years of experience in the creation of scalable Apache Spark Code for production applications would be strongly preferred.
Experience with a range advanced techniques & emerging approaches to big data & data science (python, spark, tensorflow, H2O, Dask, etc)
Apache Spark expert. Preference for Scala coding expert, but PySpark is acceptable.
Ability to structure production code in a modular format that promotes flexibility, efficiency & reusability.
Strong organizational skills, superior attention to detail & a disciplined approach to code development & deployment
Previous experience with Jenkins & Artifactory is preferred.
Well versed with agile execution methodologies
Experience with advanced predictive modeling methods
Ability to manage multiple simultaneous projects
Ability to communicate with both business & technology leaders, & make technical concepts accessible to non-technical audiences
Experience working as part of a small & nimble modeling team in a fast-paced environment. Familiarity with agile execution methodologies.
Visa & financial/payment industry knowledge is a plus, but not required
This position requires the incumbent to travel for work 5% of the time.
This position will be performed in an office setting. The position will require the incumbent to sit & stand at a desk, communicate in person & by telephone, frequently operate standard office equipment, such as telephones & computers, reach with hands & arms, & 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.