Job Opportunities API

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: - We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere - We hire talented, self-motivated individuals with extreme ownership and high growth orientation. - We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location - Remote - USA or Canada - From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. So you can find your productive zone and work from there. About the role We're looking for a Lead - PoC Data Science to lead our stellar Proof of Concept (PoC) data science team. This is a player-coach role where you will drive critical proof-of-concept (PoC) projects for enterprise customers and financial institutions, while developing your team’s craft and accelerating their impact. We’re seeking a hands-on leader with a passion for fraud prevention and the ability to build from scratch while thriving in high-stakes environments. You will work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and help build scalable production ready solutions using fraud analytics and machine learning. You'll own a mix of client-facing POC/POV delivery, DS/ML product development, and team performance, with fraud domain expertise and technical credibility to work directly with clients, and with internal engineering, sales and product teams. What you'll be doing: - 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 What you'll need: - 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 rec