Senior Data Scientist

Stack

Responsibilities

• ▹Champion a data-first approach across internal teams and client engagements
• ▹Build and deploy machine learning models to prevent fraud, from proof-of-concept through to production
• ▹Develop and track metrics to measure and monitor the performance of risk products and strategies
• ▹Conduct in-depth analyses to uncover insights that reduce fraud and increase approval rates
• ▹Work directly with clients to translate complex data insights into clear, actionable recommendations
• ▹Create and automate self-serve dashboards leveraging BI tools
• ▹Collaborate with engineering to scale models into production and optimize performance

Requirements

• ▹7+ years of experience in data science, quantitative modeling, or a data-focused role, with demonstrated impact in fraud or risk contexts
• ▹Strong, hands-on experience with Python/R and SQL
• ▹Expertise in BI tools such as Tableau, Sigma, or Metabase
• ▹Proven ability to structure and analyze complex data (EDA, cohort analysis) and communicate findings to technical and non-technical audiences
• ▹Sharp critical thinking and creative, action-biased problem-solving
• ▹Proficiency in defining, tracking, and communicating performance metrics

Nice to have

• ▹Spark experience

Soft skills

What we offer

• ▹Generous compensation in cash and equity
• ▹Early exercise for all options, including pre-vested
• ▹Remote-first culture, work from anywhere
• ▹Flexible paid time off and year-end break
• ▹Health, dental, and vision insurance (US/Canada)
• ▹4% matching in 401k/RRSP (US/Canada)
• ▹MacBook Pro delivered to your door
• ▹One-time home office setup stipend
• ▹Monthly meal and social meet-up stipends
• ▹Annual health, wellness, and learning stipends

About the company

Sardine is the leading agentic risk platform for fighting financial crime, helping companies like FIS, GoDaddy, Intuit, and Checkout.com stop fraud in real time and automate AML operations. With hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo, the team works remote-first.