ML Scientist

Visa • Foster City, CA

280d • $99,600 - $140,700 • Hybrid

About The Position

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.

Requirements

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

Nice To Haves

• 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.

Responsibilities

• Develop new models and re-train existing ones, evaluate performance, and optimize scores.
• 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.

Benefits

• Medical
• Dental
• Vision
• 401 (k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree