Common Purpose, Uncommon Opportunity.
Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payment company in Silicon Valley, technology is at the heart of what we do. Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks; our Advanced Authorization engine scores every authorization
VisNet processes with machine learning models for issuers to stop frauds in real-time. 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 and FIFA™ World Cup, celebrate teamwork, diversity, and 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 and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world's most respected and innovative payments companies.

In this role, you will be responsible for a range of duties from basic data analytics, to implementing and delivering advanced machine learning models, visualization solutions and high impact business projects. You will get chance to leverage your business acumen, programming skills, technical knowledge of big data and machine learning techniques. This function is critical in building market-relevant client solutions and intellectual property for Visa.

The position will be based at Visa's headquarters in Foster City, California

Responsibilities

• Work with project managers and clients to fully understand business requirements and desired business outcomes


• Build advanced machine learning (ex. RNN, CNN) models to process images, free text and other structural or non-structural data for business solutions


• Build visualization solution for better UX and UI


• Assist in scoping and designing analytic projects and solutions, bringing in and testing innovative ideas for out-of-box solutions


• Execute analytic projects ranging from small to large either individually or as part of a project team


• Extract actionable business insights from the data and build deliverables that clearly communicate the findings and recommendations


• Ensure project delivery within timelines and budget requirements


• Provide coaching and mentoring to junior team members


• Perform other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis


• Find opportunities to create and automate repeatable analyses or build self-service tools for business users

We are looking for a strong analytics thinker and problem solver, with a blend of business and technical skills:

Business skills and general qualities:

• Good business acumen to orient data analysis and solutions to business needs of clients


• Strong desire and unyielding mindset to solve the hardest data problems


• Articulate communicator able to translate data and technical concepts for a business audience


• Demonstrated intellectual and analytical rigor, strong attention to details


• Team oriented, energetic, collaborative, diplomatic, and flexible style


• Intellectually curious and continuously striving to learn

Technical skills:

• High level of competence in Python, Spark and Unix/Linux scripts


• Extensive experience with SQL for extracting and aggregating data


• Real world experience using Hadoop and the related query engines (Hive / Impala)


• Experience with data mining and statistical modeling such as regression, clustering techniques, decision trees, etc. is required


• Some proficiency with SAS as a statistical package is highly desirable


• Experience with data visualization and business intelligence tools like Tableau, Microstrategy, or other programs

Experience:

• Master’s degree in quantitative field such as Statistics, Operational Research, Computer Science, Engineering, Economics, etc.


• Minimum of 3-4 years of experience applying statistical solutions to business problems in relevant fields such as analytics, business consulting, or other data-driven functions


• Analytics experience in credit cards, financial services, or merchant analytics (such as retail, hotels or airlines) is helpful but not required

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.