Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive. 

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement. 

This opportunity is in Visa's Machine Learning Platform.  The Machine Learning Platform provides soft infrastructure support to Visa's data scientists and researchers.  We enable the training of statistical and machine learning models via development and maintenance of a distributed computing stack.  Frameworks used in the stack are:  Kubernetes, Airflow, Ray, Torch, Tensorflow, XGBoost, and Spark.  Development is primarily in Python and Go.   

We are a cross-functional team that interfaces both with internal data science and research clients as well as other hard and soft infrastructure teams.  

The responsibilities for this role include: 

--Consolidating the rich data sources available regarding usage of the platform, especially accelerator usage.  

--Creating a monitoring and analysis framework for the consolidated data set 

--Using empirical and mathematical methods to analyze the consolidated data set, in order to improve the efficiency of our accelerator deployment 

--Supervision of junior data scientists 

--Interaction with data science customers, including taking and scoping requirements, consolidation and prioritization of tasks, and Agile task management.  

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications:
• 10+ years of relevant work experience with a Bachelor’s Degree or at least 7
years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD)
or 4 years of work experience with a PhD, OR 13+ years of relevant work
experience.

Preferred Qualifications:
• 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of
relevant work experience
• At least 5 years work experience in a supervisory data science or machine
learning role
• Post-bac training in data science or machine learning
• Python
• SQL
• Data analysis
• Ability to communicate data analytic results verbally and in writing to both
technical and non-technical audiences
• Familiarity with the Agile development framework

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/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.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 173,100.00 to 250,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.