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Staff Applied ML Scientist

SentiLink· Technology
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Remote$220k - $260kFull-timePosted 7mo ago

About the role

Staff Applied ML Scientist at SentiLink building core fraud detection and financial risk models. Full-stack data science role with end-to-end ownership, cross-team collaboration, and production-grade code for real-time decision making.

Responsibilities

  • Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: data acquisition decisions, featurization, labeling resources, model training, experimentation, productionalization, and monitoring.
  • Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
  • Research new types of fraud and develop new products around identity verification.
  • Achieve success by iterating, integrating new data sources, and inventive feature engineering.
  • Write production-ready code for real-time decision making by partners.
  • Design, perform, and present analyses informing data acquisition, product development, risk operations priorities, marketing, and sales efforts.
  • Collaborate with engineering, risk operations, and data acquisitions to access data, maintain data quality, and support data access.

Qualifications

  • 6+ years relevant work experience & relevant PhD or 8+ 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
  • End-to-end DS development: planning, success criteria, buy-in, solution development, delivery (prod/deck/strategy)
  • Strong practical ML / Stats knowledge; familiarity with SOTA ML solutions a plus
  • Interest in developing deep domain expertise for product-focused work; willingness to learn fraud domain
  • Experience writing production code and tests
  • Detail oriented and reliable for business-changing decisions
  • Bonus for familiarity with identity solutions, fintech, or adjacent industries
  • Experience working at a startup strongly preferred
  • Thrive in fast-paced environment solving varied, high-impact problems
  • Candidates must be legally authorized to work in the United States and reside in the U.S.

Skills

Required:Fraud detection modelingProduction-grade software developmentData analysis and experimental design

Benefits

  • Employer paid group health insurance for you and your dependents
  • 401(k) plan with employer match (or equivalent for non US-based roles)
  • Flexible paid time off
  • Regular company-wide in-person events
  • Home office stipend, and more!
Last updated Oct 22, 2026. Interested? Apply on the company site.

About SentiLink

The fraud experts

SentiLink combines technology and expertise to help financial institutions stop identity fraud at the application stage.

fraudidentity theftrisk solutionsdata & insightssecurityfinancial institutionsfintechsproducts
Company profileWebsite

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