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Staff Applied Machine Learning Scientist (Fraud & Financial Risk)

SentiLink • United State
Remote
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Lead the development of advanced fraud detection models and identity verification solutions at SentiLink, driving product innovation and high-impact business decisions. Own end-to-end ML projects, collaborate cross-functionally, and leverage deep domain expertise to solve complex fraud challenges. Requires 6+ years of experience (or PhD) with strong end-to-end data science and production engineering skills.

Key Highlights
Ownership of end-to-end ML development for fraud detection and financial risk products
Collaboration across teams to research new fraud types and drive product/market strategy
Full-stack data science role with production code, model monitoring, and stakeholder communication
Key Responsibilities
Develop and maintain fraud detection models through the full lifecycle, including data acquisition, featurization, training, productionalization, and monitoring
Research new fraud types and develop innovative products for identity verification and financial risk
Write production-ready code for real-time decision-making and collaborate with engineering/operations teams on data access and quality
Design and present analyses to guide data acquisition, product development, risk operations, marketing, and sales strategies
Technical Skills Required
Python Machine Learning SQL
Benefits & Perks
$220,000/year - $260,000/year + equity + benefits
Employer paid group health insurance for you and your dependents
401(k) plan with employer match
Flexible paid time off
Regular company-wide in-person events
Home office stipend
Nice to Have
Experience with identity solutions, fintech, or adjacent industries
Familiarity with AWS infrastructure (EC2, S3, RDS, Redshift)
Experience working at a startup

Job Description

SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details.At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them.
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