Senior Data Scientist

About this role

Build and deploy data-driven solutions to help fintech clients detect and prevent fraud. The role combines machine learning, risk analytics, metrics, and client-facing problem solving, from prototyping through production.

About the company

Sardine is a financial crime platform that helps companies detect fraud, money laundering, and other risk with real-time behavioral and device intelligence.

The team

Data Science; Fraud Ops and Analytics

Stack

What you'll do

• Build and deploy fraud-prevention machine learning models, from proof of concept to production.
• Measure risk product performance and the effectiveness of risk strategies.
• Analyze data to identify opportunities to reduce fraud and improve approval rates.
• Work with clients to understand fraud challenges and provide actionable recommendations.
• Create and automate self-serve dashboards.
• Collaborate with engineering and cross-functional teams to scale models and deliver data-driven solutions.

What we're looking for

• 7+ years of experience in data science, quantitative modeling, or a data-focused role, with impact in fraud or risk.
• Strong hands-on Python or R and SQL skills.
• Expertise with BI tools such as Tableau, Sigma, or Metabase.
• Experience with exploratory data analysis, cohort analysis, and communicating findings to technical and non-technical audiences, including clients.
• Ability to define, track, and communicate performance metrics.

Nice to have

• Spark experience.

Benefits

• Equity and bonus.
• Early exercise for all options, including pre-vested options.
• Flexible paid time off and year-end break.
• Health, dental, and vision coverage for employees and dependents.
• 4% matching in 401(k) or RRSP.
• Home office setup stipend, monthly meal and social meet-up stipends, and annual health and learning stipends.