Remote Data Scientist Fraud Detection Jobs

The ideal candidate will derive these models to detect kinematic behaviors leveraging live and historical data.

About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age

You’ll conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and collaborate with stakeholders to enhance our fraud detection and prevention

Partner with Data Science and ML teams to productionize models, build reliable ML data pipelines, and enable real-time model serving.

company and our customers, most notably the scientists using the nELISA and patients that will ultimately benefit from nELISA data.

Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations

The ideal candidate will derive these models to detect kinematic behaviors leveraging live and historical data.

The ideal candidate will derive these models to detect kinematic behaviors leveraging live and historical data.

Senior/Staff Machine Learning Data Scientist In Brief We’re an early-stage startup on a mission

Your work will span the fraud and abuse detection and control capabilities at the heart of Radar and the user and developer experiences that put those capabilities

To that end, we are hiring a Machine Learning-focused Data Scientist to support our Risk team.

Responsibilities: Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition

The ideal candidate will derive these models to detect kinematic behaviors leveraging live and historical data.

You'll lead a team of 3+ data scientists. You won't build our fraud products; your team measures, stress-tests, explains, and monitors them.

You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection