← All roles

Senior Applied ML Scientist

SentiLink· Technology
Apply on company site
Remote$200k - $240kFull-timePosted 7mo ago

About the role

Senior Applied ML Scientist at SentiLink building core fraud and financial risk models, owning end-to-end model development in a fast-moving, production-focused data science environment. Collaborates across teams to research new fraud types, develop products, and drive data-driven business decisions.

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 SentiLink products around identity verification.
  • Achieve success by iteration, 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.
  • Work with engineering, risk operations, and data acquisitions to access data, maintain data quality, and support data access.

Qualifications

  • 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
  • Strong end-to-end DS development: planning, success criteria, buy-in, solution development, delivery (prod / deck / strategy doc / etc)
  • Strong practical ML / Stats knowledge; familiarity with SOTA ML solutions is a plus
  • Interest in developing deep domain expertise for product-focused work (fraud background not required but willingness to learn)
  • Experience writing production code and tests
  • Detail oriented and dependable for business-changing decisions
  • Bonus for familiarity with identity solutions, fintech, or adjacent industries
  • Experience working at a startup strongly preferred
  • Thrives in fast-paced environment with highly varied, high-impact, open-ended problems
  • Candidates must be legally authorized to work in the United States and live in the United States

Skills

Required:Data science & ML lifecycleModel development & deploymentProduction code & testingCommunication to stakeholders
Nice to have:Fraud/domain knowledge

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

More open roles at SentiLink