Staff Applied ML Scientist

SentiLink
United States
Workplace: RemoteFull timeUSD 200,000 - 240,000 annuallyFunction: Research & Scientific (R&D)Experience: 6-8 yearsEducation: phdSkills: ["Communication","Problem-solving","Collaboration"]

A senior, full-stack data science role focused on developing and productionalizing fraud and financial risk models. You’ll own end-to-end ML projects, research new fraud types, integrate data sources, write production code, and collaborate across teams to influence product, risk, marketing, and sales. Technologies include Python, PostgreSQL, and AWS, with a strong emphasis on real-time decision making.

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SentiLink
SentiLink
4 months ago

Staff Applied ML Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

A senior, full-stack data science role focused on developing and productionalizing fraud and financial risk models. You’ll own end-to-end ML projects, research new fraud types, integrate data sources, write production code, and collaborate across teams to influence product, risk, marketing, and sales. Technologies include Python, PostgreSQL, and AWS, with a strong emphasis on real-time decision making.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Develop and maintain fraud detection models through the full model development lifespan, including data acquisition decisions, featurization, labeling, training, experimentation, productionalization, and monitoring.
  • •Build foundational modeling to drive SentiLink’s Fraud and Financial Risk products.
  • •Research new types of fraud and develop new products around identity verification.
  • •Achieve success through iterative development, new data sources, and inventive feature engineering.
  • •Write production-ready code that supports real-time decision making for partners.

Pay and Benefits

Salary: USD 200,000 - 240,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kHome Office

Key Requirements

  • •6+ years relevant work experience and a PhD or 8+ years and a 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 experience: planning, metrics, buy-in, delivering solutions (prod/deck/strategy)
  • •Experience writing production code and tests
Experience:6-8 yearsFintechIdentityFraudRiskMachine learning
Education:PhD / Doctorate
Skills:CommunicationProblem-solvingCollaboration
Languages:English
Tech Stack:PythonPostgreSQLAWSEC2S3RDSRedshift

Company Brief

SentiLink
Provides machine learning-based identity verification and fraud prevention solutions to financial services companies, helping detect synthetic identities, account takeover, and payment fraud to reduce losses and onboarding risk.
Industry: Cybersecurity
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Mateo, United States
Founded: 2017
WebsiteLinkedIn