Lead – POC Data Science

🕒 June 6

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Lead and develop a team of IC data scientists — set direction, unblock work, run 1:1s, and grow each person's scope and impact • Own POC/POV delivery — partner directly with enterprise customers to demonstrate fraud-loss reduction and platform ROI, from first data pull through to stakeholder readout • Stay hands-on in the technical work — build or review ML models, conduct in-depth fraud analyses, and ship production-grade solutions alongside your team • Define and track performance metrics — design dashboards and reporting frameworks to measure the effectiveness of risk strategies across clients • Translate client problems into data solutions — act as a senior point of contact for fraud challenges, turning complex findings into clear recommendations • Partner cross-functionally with Engineering, Product, and GTM to scope work, influence the roadmap, and ensure fraud solutions and models get instrumented and scaled correctly • Drive experimentation — support A/B testing to safely validate new strategies before full rollout • Raise the bar on craft — mentor IC data scientists on modeling rigor, storytelling with data, and client communication

🎯 Requirements

• 10+ years of experience in fraud/risk data science and analytics with demonstrated impact in fraud, payments, or fintech • 3+ years in a people leadership role (team lead, manager, or tech lead with direct reports) — you've coached data scientists and helped them grow • Strong hands-on technical skills — Python and SQL are essential; Spark, Kafka, or feature stores are a plus • Experience delivering POC/POV engagements with measurable customer outcomes • Proven track record with applied ML in fraud or risk — anomaly detection, classification, and graph analytics in production • Expertise in BI and dashboarding — Sigma, Tableau, Metabase, or equivalent • Strong communication and stakeholder management — able to translate complex model outputs for both technical and non-technical audiences, including clients and execs • Bias toward action and ownership — you don't wait to be unblocked • Familiarity with real-time decision infrastructure (Flink, Kafka, feature stores) - Nice to have • Background in a high-growth fintech, payments, or financial institution - Nice to have

🏖️ 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