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Описание вакансии
Текст:
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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