ML Scientist

The ideal candidate will bring the excitement and passion to leverage traditional and generative AI to advance existing fraud detection mechanisms and to innovate and solve new fraud use cases. This engineer will help design, enhance, and build next generation fraud detection solutions in an agile development environment.

Essential Functions

• Develop new models and re-train existing ones, evaluate performance, and optimize scores. Preferable to have data science knowledge and experience in designing, developing, and implementing Deep Learning methodologies and scalable ML models.

• Devise deep learning architectures and algorithms for graph-based data, integrating Graph Neural Networks (GNNs) and advanced graph representation learning techniques.

• Implement efficient methods for monitoring model effectiveness and performance in production.

• Build ETL pipelines using Spark, Python, HIVE, Scala, or Airflow to process transaction and account-level data, and standardize data fields from various sources.

• Experiment with and develop custom algorithms for modeling and scoring, utilizing machine learning, data mining, and statistical techniques.

• Collaborate with Data Scientists, Data Engineers, Software Engineers, and cross-functional partners to design and deploy AI/ML solutions and products.

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.

Visa is not offering relocation assistance for this role.

Basic Qualifications:

*Minimum of 6 months of work experience or a Bachelor's Degree

Preferred Qualifications:

-2 or more years of work experience

-Candidates with a PhD or a Master's degree in a quantitative field, such as

Statistics, Mathematics, Operational Research, Computer Science, Economics,

or engineering preferred

-Experience in Graphical Neural Networks (GNNs), knowledge graphs, and

graph-based technology and analysis.

-Strong background in two or more of the following areas: machine learning, AI

algorithms, computations, statistical learning theory, scalable systems (e.g.

Spark, Hadoop), large scale data analysis, optimization, functional analysis

and deep learning.

-Proficiency in SQL for data extraction and aggregation.

-Proficiency in Python and deep learning frameworks and libraries such as

PyTorch and PyG.

-Skilled in advanced data mining and statistical modeling techniques, including

predictive modeling, classification, and decision trees.

-Familiarity with Linux, shell scripting, and commonly used IDEs like Jupyter

Notebooks.

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 99,600.00 to 140,700.00 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.

Visa is not offering relocation assistance for this role.