Lead – POC Data Science

🕒 Junho 6

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Sardine

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2020

🔒 Cibersegurança

📋 Conformidade

💳 Fintech

Cybersecurity • Compliance • Fintech

Sardine é uma plataforma de ponta focada em prevenção à fraude e compliance. A empresa oferece um sistema baseado em comportamento para detecção de fraudes, verificação de identidade e monitoramento de transações, ajudando grandes bancos, varejistas online e fintechs a se protegerem contra golpes e crimes financeiros. A tecnologia da Sardine integra biometria comportamental avançada e inteligência de dispositivos para combater fraude de identidade, fraude em pagamentos e sequestro de conta (Account Takeover — ATO). A plataforma também agiliza verificações de compliance, como KYC (Know Your Customer) e monitoramento de transações AML (Anti-Money Laundering). A solução abrangente da Sardine capacita seus clientes a automatizar decisões de risco, identificar precocemente usuários de alto risco e gerenciar fraudes de forma eficaz em toda a jornada do cliente.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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