Lead - POC Data Science

Sardine • Full-time • Remote (United States; Canada) • $160k - $270k / year • 1m ago

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

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 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)
Background in a high-growth fintech, payments, or financial institution

Benefits we offer:

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

Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.

To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.

Compensation Range: $200K - $280K