Senior Data Scientist

🕒 March 27

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $170k - $210k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 59%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sardine

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🔒 Cybersecurity

📋 Compliance

💳 Fintech

Cybersecurity • Compliance • Fintech

Sardine is a cutting-edge platform focused on fraud prevention and compliance. The company offers a behavior-based system for fraud detection, identity verification, and transaction monitoring that helps leading banks, online retailers, and fintechs protect themselves from scams and financial crime. Sardine's technology integrates advanced behavioral biometrics and device intelligence to combat identity fraud, payment fraud, and account takeovers. The platform also streamlines compliance checks such as KYC (Know Your Customer) and AML (Anti-Money Laundering) transaction monitoring. Sardine's comprehensive solution empowers its clients to automate risk decisioning, identify high-risk users early, and manage fraud across the customer journey effectively.

📋 Description

• Champion a data-first approach across internal teams and client engagements • 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 risk product performance and risk management effectiveness • Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for clients • Work directly with clients to understand fraud challenges and translate complex data insights into actionable recommendations • Use data and models to support risk mitigation strategies while preserving and improving 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 Business, Product, and Engineering teams to translate business requirements into data-driven solutions

🎯 Requirements

• 7+ years of experience in data science, quantitative modeling, or a data-focused role with demonstrated high impact in fraud or risk contexts • Strong hands-on experience with Python/R and SQL is essential • Spark is a nice to have • 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 • Ability to communicate findings effectively to technical and non-technical audiences, including clients • Proficiency in defining, tracking, and communicating performance metrics • Sharp critical thinking and creative problem-solving skills with a bias toward action

🏖️ Benefits

• Generous compensation in cash and 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