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

We are looking for a senior machine learning engineer to join our merchant data platform data science and modeling team to help build the next generation AI powered merchant ecosystem. 

In this role, you will help build ML solutions to enhance merchant data, discover insights, ensure data quality and power cross functional peers to unleash merchant data potential. You will also be guiding the direction of this team and help grow junior talents. 

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:
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced
Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:
• 3 or more years of work experience with a Bachelor’s Degree or more than 2
years of work experience with an Advanced Degree (e.g. Masters, MBA, JD,
MD)
• Relevant working experiences in modeling techniques such as logistic
regression, Naive Bayes, SVM, decision trees, natural language processing or
neural networks
• Skilled in SQL, Python and basic libraries for machine learning such as scikit-
learn and Pandas, as well as Jupyter Notebook
• Experience with Big Data and analytics in general leveraging technologies like
Hadoop, Spark, and Query Engines
• Excellent interpersonal, facilitation, and effective communication skills (both
written and verbal) and the ability to present complex ideas in a clear, concise
way
• Knowledge on machine learning framework and concepts
• Modeling experience in card industry or financial service company
• Experience in MLOps and production machine learning systems at large scale
• Experience in Automation framework such as Airflow, Metaflow

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 125,500.00 to 177,250.00 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.