Note: The job is a remote job and is open to candidates in USA. Sardine is the leading agentic risk platform for fighting financial crime, helping organizations stop fraud, prevent AI-driven attacks, and automate fraud and AML operations. The Senior Data Scientist will measure and improve risk strategy performance, develop and deploy machine learning and graph analytics solutions, analyze complex datasets, and work directly with clients and cross-functional teams to address fraud challenges.
Responsibilities
- 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 our 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 (Business, Product, and Engineering) to translate business requirements into data-driven solutions
Skills
- 7+ years of experience in data science, quantitative modeling, or a data-focused role (product analytics, business analytics) with demonstrated high impact in fraud or risk contexts
- Strong hands-on experience with Python/R and SQL is essential
- Expertise in BI tools such as Tableau, Sigma, or Metabase
- Proven ability to structure and analyze complex data using techniques like EDA and cohort analysis, and 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
- Spark being a nice to have
Benefits
- Equity
- Early exercise for all options, including pre-vested
- Work from anywhere: Remote-first Culture
- Flexible paid time off and Year-end break
- Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
- 4% matching in 401k / RRSP - US and Canada specific
- MacBook Pro delivered to your door
- One-time stipend to set up a home office — desk, chair, screen, etc.
- Monthly meal stipend
- Monthly social meet-up stipend
- Annual health and wellness stipend
- Annual Learning stipend
Company Overview
Company H1B Sponsorship