SentiLink · 2 hours ago

Senior Data Scientist - ML Engineer

United States

Full-time

Remote

Mid, Senior Level

$180K/yr - $220K/yr

4+ years exp

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Cyber SecurityFraud Detection

No H1B

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Responsibilities

Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.

Research new types of fraud and develop new SentiLink products around identity verification.

Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.

Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.

Write production-ready code that can be relied on for real-time decision making by our partners.

Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.

Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Python 3PostgreSQLAWS infrastructureData ScienceMachine LearningStatistical AnalysisProduction CodeFraud DetectionFintechIdentity Solutions

Required

4+ years relevant work experience & relevant PhD or 6+ years & relevant Masters.

Proven track record of solving complex / high profile business problems with DS / ML solutions.

Experience in communicating outcomes / progress to senior management / stakeholders.

Very strong in 'end to end' DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc)

Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed.

Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is.

Experience writing production code and tests.

Detail oriented and thoughtful -- someone we can rely on to make business-changing decisions.

Candidates must be legally authorized to work in the United States and must live in the United States.

Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.