Senior Fraud ML Research Scientist

Showcify; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Plaid is seeking a Senior Research Scientist to lead applied research in fraud detection across relational graphs, sequential events, and multimodal data. You will design rigorous experiments, partner with ML Engineers and Data Scientists, and translate research into production-ready solutions that strengthen fraud detection across Plaid’s network.

You will own research roadmaps, publish findings, and collaborate with cross-functional teams to deliver measurable product impact while leveraging

Qualifications

• PhD strongly preferred; candidates without a PhD may be considered with equivalent research contributions.
• 2–4+ years of relevant industry or research lab experience with leadership in research.
• Demonstrated scientific rigor with strong written and verbal communication.
• Strong proficiency in Python and building high-quality research prototypes.

Responsibilities

• Research and prototype state-of-the-art approaches across graph ML, sequential modeling, and multimodal learning for fraud detection.
• Own and execute a research roadmap translating ideas into production solutions with measurable impact.
• Publish and share applied research while collaborating with cross-functional teams.
• Leverage Plaid’s network-level financial data to derive insights and build scalable solutions.

Skills

Python

Research leadership

Excellent communication

Fraud detection knowledge

Education

PhD in ML/CS/Statistics

Job description

Plaid is seeking a Senior Research Scientist to lead applied research in fraud detection across relational graphs, sequential events, and multimodal data. You will design rigorous experiments, partner with ML Engineers and Data Scientists, and translate research into production-ready solutions that strengthen fraud detection across Plaid’s network.

You will own research roadmaps, publish findings, and collaborate with cross-functional teams to deliver measurable product impact while leveraging