Staff Data Scientist, Full Stack

SentiLink
United States
Workplace: RemoteFull timeUSD 200,000 - 240,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Communication","Problem-solving","Team collaboration"]

Senior, full-stack data science role building and maintaining fraud detection models and risk products. You will develop end-to-end DS solutions, write production code for real-time decisions, and collaborate across teams to inform product, risk, and sales strategies in a remote, US-centric setup.

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SentiLink
SentiLink
4 months ago

Staff Data Scientist, Full Stack

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Senior, full-stack data science role building and maintaining fraud detection models and risk products. You will develop end-to-end DS solutions, write production code for real-time decisions, and collaborate across teams to inform product, risk, and sales strategies in a remote, US-centric setup.
Location: United States
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: data acquisition decisions, featurization, labeling, 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 researching/developing through iteration, integration of new data sources, and inventive feature engineering.
  • •Write production-ready code that can be relied on for real-time decision making by our partners.

Pay and Benefits

Salary: USD 200,000 - 240,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kTime OffHome 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 writing production code and tests
  • •Strong practical ML/Stats knowledge with familiarity with state-of-the-art solutions a plus
  • •Candidates must be legally authorized to work in the United States and live in the United States
Experience:6+ yearsFintechIdentity verificationRisk managementFraud detection
Skills:CommunicationProblem-solvingTeam collaboration
Tech Stack:PythonPostgreSQLAWS

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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