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Visa // credit cards
   Posted: Wednesday, August 14, 2019
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  Company Description

Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind - making sure that Visa is the best way to pay & be paid, for everyone everywhere. This is our global vision & the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people & businesses around the world, enabling them to use digital currency instead of cash & checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa's sponsorships, including the Olympics & FIFA World Cup, celebrate teamwork, diversity, & excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience & security of digital currency to people all over the world. Join our team & find out how Visa is everywhere you want to be.

Job Description

The ideal candidates are problem solvers, equipped with strong analytical & quantitative skills suited to address key strategic needs for Visa's clients including issuers, acquirers & merchants.

Adept at creative & critical thinking, they are able to deconstruct problems & transform insights into large scale, state-of-the-art solutions. Candidates must be quick learners with a strong sense of personal responsibility.


Work with large volumes of data; extract & manipulate large datasets using standard tools such as Hadoop Ecosystem, SAS, through scripting in Python, SQL, Java etc.

Hands-on skills in cleaning, manipulating, analyzing, visualizing large data sets.

Data Cleaning/Transformation - This involve parsing & aggregating messy, incomplete, & unstructured data sources to produce data sets that can be used in analytics/predictive modeling.

Enhance & optimize codes that scale critical business processes.

Develop & validate advance data mining tools, algorithms, & other capabilities to solve business problem.

Ensure database management & maintenance tasks are performed effectively & timely

Directly implement complex models & data pipelines on large datasets

Implement data tests & QA processes

Transform data/ analysis to a business language

Continuously develop & present innovative ideas based on data driven approach in order to improve current business practices within Visa



MS in engineering, computer science, statistics, or other related fields with 8+ years of experience required.

3+ year of experience with the ability to come up with practical algorithms & write high quality code quickly for analyzing gigabyte to terabyte-scale data.

Understanding of algorithms & ability to optimize various program complexities using suitable datastructures.

Expertise in one dynamic scripting language (SQL & Python is a plus), ETL process. Is a must

Expertise with using distributed computing technologies, including Hadoop (MapReduce, PIG, Hive) & Spark to write data analytic processing jobs both in batch & streaming against structured andunstructured data

Experience Data Mining or Statistics (SAS, SAS E. Miner, SAS E. Guide).

Ability to manage multiple projects efficiently & able to meet deadlines

Experience designing & building new tools. Ability to re-use existing experience to develop new production-ready solutions.

Quick-thinker, fast learner, wide general knowledge, problem solver

Team worker, responsible, delivery-oriented

Excellent spoken & written English. Spanish is a must

Additional Information

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.

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