Lead PoC Data Scientist

About the Role You will drive critical proof of concept PoC projects for enterprise customers and financial institutions while developing your team’s craft and accelerating impact. You will be hands on building or reviewing ML models, conducting fraud analyses, and shipping production ready solutions using fraud analytics and machine learning. You will own a mix of client facing PoC/POV delivery, ML product development, and team performance, collaborating with engineering product and GTM to scale fraud solutions.

Requirements 7–10 years of experience in fraud/risk data science and analytics with demonstrated impact in fraud, payments, or fintech 2–3 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 Nice to have Familiarity with real-time decision infrastructure (Flink, Kafka, feature stores) Nice to have Background in a high-growth fintech payments or financial institution

Responsibilities Lead and develop a team of IC data scientists to set direction unblock work, run 1:1s, and grow each person's scope and impact Own POC/POV delivery by partnering directly with enterprise customers to demonstrate fraud loss reduction and platform ROI from first data pull through to stakeholder readout Stay hands on by building or reviewing ML models, conducting in depth fraud analyses, and shipping production grade solutions alongside your team Define and track performance metrics by designing dashboards and reporting frameworks to measure the effectiveness of risk strategies across clients Translate client problems into data solutions and 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 are instrumented and scaled correctly Drive experimentation by supporting A/B testing to safely validate new strategies before full rollout Raise the bar on craft by mentoring IC data scientists on modeling rigor storytelling with data and client communication

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 Funding Investors Senior Full Stack Data Scientist, NLP TRM Labs · 1 week ago Senior Data Scientist Graph ML TRM Labs · 1 week ago Senior Data Scientist, Full Stack (LATAM) TRM Labs · 1 week ago Quantitative Researcher Douro Labs · 1 week ago Data Specialist VIA Science, Inc. · 2 weeks ago Funding Investors Senior Full Stack Data Scientist, NLP TRM Labs · 1 week ago Senior Data Scientist Graph ML TRM Labs · 1 week ago Senior Data Scientist, Full Stack (LATAM) TRM Labs · 1 week ago Quantitative Researcher Douro Labs · 1 week ago Data Specialist VIA Science, Inc. · 2 weeks ago