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обновлено 4 дня назад

Data Scientist (Fraud Risk)

170 000 - 210 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Scientist (Fraud Risk): Building and deploying machine learning models, graph analytics solutions, metrics, and dashboards to prevent fraud and improve risk strategy performance with an accent on real-time risk, client-facing analysis, and production-scale deployment. Focus on analyzing complex datasets, designing fraud interventions, and collaborating with engineering and business stakeholders to improve approval rates and user experience.

Location: Remote within the United States or Canada; candidates must maintain a home base in the country of hire.

Salary: US$170,000–US$210,000 estimated base salary; Canada CA$175,000–CA$210,000 estimated base salary, plus equity and bonus opportunities.

Company

Sardine provides an agentic risk platform that unifies data to prevent fraud, AI-driven attacks, and financial crime while automating fraud and AML operations.

What you will do

  • Build and deploy machine learning models for fraud prevention across fintech use cases, from proof of concept through production.
  • Develop metrics and analyze risk strategy performance, fraud reduction, and client approval rates.
  • Work directly with clients to understand fraud challenges and turn complex data insights into actionable recommendations.
  • Design and automate self-serve dashboards using BI tools.
  • Collaborate with Engineering to scale models, optimize performance, and support data instrumentation.
  • Partner with Business, Product, and Engineering to translate requirements into data-driven solutions.

Requirements

  • 7+ years of experience in data science, quantitative modeling, product analytics, business analytics, or a related data-focused role, with significant fraud or risk experience.
  • Strong hands-on experience with Python or R and SQL.
  • Expertise with BI tools such as Tableau, Sigma, or Metabase.
  • Experience with exploratory data analysis, cohort analysis, complex datasets, and performance metrics.
  • Ability to communicate findings clearly to technical and non-technical stakeholders, including clients.
  • Strong critical thinking, creative problem-solving, and bias toward action.

Nice to have

  • Experience with Spark.

Culture & Benefits

  • Remote-first work with flexibility within the country of hire.
  • Flexible paid time off and a year-end break.
  • Health, dental, and vision coverage for employees and dependents.
  • US and Canada-specific 401(k) or RRSP matching at 4%.
  • MacBook Pro, home-office setup stipend, meal and social meet-up stipends.
  • Annual health, wellness, and learning stipends, plus cash and equity compensation.

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