Senior Data Scientist

As a Senior Data Scientist at Sardine, you'll help measure, understand, and improve the performance of our risk strategies while staying ahead of evolving fraud threats. You work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. This is a hands-on, high-impact role at the intersection of data science, client-facing problem solving, and real-time risk.

What you'll do

• Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
• Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production
• Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies
• Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for clients
• Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations
• Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience
• Create and automate self-serve dashboards leveraging BI tools
• Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation
• Partner with cross-functional teams including Business, Product, and Engineering to translate business requirements into data-driven solutions

What you bring

• 7+ years of experience in data science, quantitative modeling, or a data-focused role such as product analytics or business analytics, with demonstrated high impact in fraud or risk contexts
• Strong hands-on experience with Python or R and SQL
• Expertise in BI tools such as Tableau, Sigma, or Metabase
• Proven ability to structure and analyze complex data using techniques like exploratory data analysis and cohort analysis
• Ability to communicate findings effectively to both technical and non-technical audiences, including clients
• Sharp critical thinking and creative problem-solving skills with a bias toward action
• Proficiency in defining, tracking, and communicating performance metrics

Nice to have

• Experience with Spark

What we offer

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Remote-first work culture; work from anywhere in the USA or Canada
• Flexible paid time off and year-end break
• Health insurance, dental, and vision coverage for employees and dependents (US and Canada)
• 4% matching in 401k or RRSP (US and Canada)
• MacBook Pro delivered to your door
• One-time stipend to set up a home office with desk, chair, and screen
• Monthly meal stipend
• Monthly social meet-up stipend
• Annual health and wellness stipend
• Annual learning stipend

About Sardine

Sardine is the leading agentic risk platform for fighting financial crime, unifying data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. The platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.