Job Description
The Visa Acceptance Platform is the foundation for creating innovative payment solutions that drive exceptional customer experience. It lets you easily leverage a broad range of pre-integrated modular services and a growing ecosystem of technology and payments partners. Because it's Visa, the platform is secure, robust, and resilient. And because it's open, it will continue evolving to support you into the future.
At Visa, we believe AI technologies have the potential to radically transform commerce. We launched Visa Intelligent Commerce to enable this next era of commerce. This program provides the infrastructure and tools developers need to build trusted, agentic experiences.
Make an impact with a purpose-driven industry leader. Join us today and be part of AI transformation journey at Visa.
We are looking for a versatile, curious, and energetic Senior Data Scientist to join our team of passionate and dedicated data scientists and engineers. We are the backbone for innovative data science and artificial intelligence developments at Visa acceptance, and we thrive on solving complex challenges on a global scale! As a Senior Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.
Essential Functions:
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Basic Qualifications:
8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
Preferred Qualifications:
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS)
Two (2) years of experience designing, building/fine tuning ML/AI models around data insights, anomaly detection e.t.c
Two (2) years of experience in designing, building, evaluating metrics for model performance and business outcome
Three (3) years of experience building and pushing code into production.
Expert in at least one of the following: Python, R, Java
Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce
Additional Information
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel5-10% 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 162,500.00 to 235,950.00 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.