Visa Inc. is a global payments technologycompany that connects consumers, businesses, financial institutions and governments in more than 200 countries and territories, enabling them to use digital currency instead of cash and checks.

Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry. Our VCA team offers:

• Consulting services customized to the needs of Visa  client’s business objectives and strategy
• Business and economic insights and perspectives that   impact business and investment decisions
• Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations
• Proven data-driven marketing strategies to increase clients’ ROI

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 and merchants.

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

Responsibilities

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

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

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

• Enhance and optimize codes that scale critical business processes.

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

• Transform data/ analysis to a business language

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

• Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa and develop new analytics solutions

Qualifications

• MS in engineering, computer science, statistics, or other related fields with 5+ years of experience required.

• 5+ years' experience with the ability to come up with practical algorithms and write high quality code quickly for analyzing gigabyte to terabyte-scale data.

• Understanding of algorithms and ability to optimize various program complexities using suitable data structures.

• Working knowledge in at least one compiled language (e.g., Java, C++) and expertise in one dynamic scripting language (Python preferably). Comfortable with shell scripting in Linux/ Unix environment.

• Familiarity with REST APIs, query endpoints, and web crawling techniques etc. is a plus.

• Experience Data Mining or Statistics (SAS, SAS E. Miner, SAS E. Guide). Knowledge of advanced statistical techniques and machine learning (regression, properties of distributions, statistical tests and proper usage, clustering, decision tree, gradient boosting, SVM, neural networks, etc.) and experience with applications.

• Experience with using distributed computing technologies, including Hadoop (MapReduce, PIG, Hive) and Spark to write data analytic processing jobs both in batch and streaming against structured and unstructured data

• Ability to manage multiple projects efficiently and able to meet deadlines

• Experience designing and 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 and written English. Spanish is a plus

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.