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$220,000 – $260,000
Listed on SentiLink’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
SentiLink is looking for an experienced machine learning scientist to own the full development lifecycle of fraud detection and financial risk models, from research through production deployment. This role suits someone with 6+ years of experience who enjoys deep domain learning, end-to-end ownership, and shipping real systems that directly protect millions of consumers.
Our summary, not SentiLink’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 6+ years of relevant work experience with a PhD in a relevant field, or 8+ years with a Master's degree
- Proven track record solving complex business problems with data science and machine learning
- Strong end-to-end data science capability: scoping, success criteria, solution development, and delivery
- Strong practical machine learning and statistics knowledge
- Experience writing production code and tests
- Ability to communicate outcomes and progress to senior stakeholders
- Detail-oriented judgment suitable for business-critical decisions
- Legal authorization to work in the United States and residency in the United States
Nice to have
- Background or familiarity with identity solutions, fintech, or adjacent industries
- Experience with state-of-the-art machine learning approaches
- Startup experience
- Familiarity with fraud domain