Sardine
Company Overview
Sardine is a fraud prevention and AML compliance platform that uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Over 300 banks, retailers, and fintechs worldwide rely on Sardine to prevent identity fraud, payment fraud, account takeovers, and social engineering scams. The company has raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.
Culture & Remote Working
Remote‑first culture with hubs in the Bay Area, NYC, Austin, and Toronto.
High ownership, self‑motivation, and high growth orientation.
Value performance over hours worked; work‑from‑anywhere flexibility.
Location Remote - US or Canada
About The Role As Head of Data Science & POCs, you’ll lead the team that transforms raw risk and payments data into real‑time decisions that power our platform. You’ll drive critical proof‑of‑concept (POC) and proof‑of‑value (POV) projects for enterprise customers and financial institutions—often the most critical phase prior to any successful partnership is signed. This hands‑on leadership role is for someone passionate about fraud prevention, building from first principles, and thriving in high‑stakes environments.
Responsibilities
Lead end‑to‑end POCs and POVs with prospective customers to demonstrate fraud‑loss reduction and ROI.
Build, optimize, and scale real‑time decision systems combining ML models, features, and rules across billions of events.
Hire, coach, and mentor a team of fraud analysts and data scientists.
Implement experimentation frameworks (A/B tests, bandit models) to validate new strategies.
Partner with Product, Engineering, and Commercial teams to embed insights into dashboards, APIs, and pricing strategies.
Present findings and strategies to customers, execs, and external stakeholders in a clear and compelling way.
Drive roadmap thinking on new signals, feature builds, and feedback loops that make our platform smarter and faster.
Qualifications
7+ years in fraud analytics, data science, or machine learning; 2+ years leading technical teams that ship real‑time risk solutions at high‑growth payments, financial, or fintech companies.
Proven record of reducing fraud losses and false positives for consumer and/or B2B products, processing millions of daily transactions or selling millions of products annually at a minimum.
Strong background in applied ML, anomaly detection, and experimentation design.
Advanced SQL skills and familiarity with modern data infra (Kafka, Flink, feature stores, vector DBs).
Executive presence and storytelling ability; able to communicate data insights to technical and non‑technical stakeholders.
Experience owning and delivering POC/POV workstreams with measurable customer outcomes.
Compensation Base pay range of
$250,000‑$270,000 USD / $310,000‑$375,000 CAD
+ Series C equity with tremendous upside potential + Attractive benefits.
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, year‑end break, and self‑care days off.
Health insurance, dental, and vision coverage for employees and dependents (US and Canada specific).
4% matching in 401(k) / RRSP (US and Canada specific).
MacBook Pro delivered to your door.
One‑time stipend to set up a home office.
Monthly meal stipend.
Monthly social meet‑up stipend.
Annual health and wellness stipend.
Annual learning stipend.
Unlimited access to an expert financial advisory.
How to Apply 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.
#J-18808-Ljbffr
Culture & Remote Working
Remote‑first culture with hubs in the Bay Area, NYC, Austin, and Toronto.
High ownership, self‑motivation, and high growth orientation.
Value performance over hours worked; work‑from‑anywhere flexibility.
Location Remote - US or Canada
About The Role As Head of Data Science & POCs, you’ll lead the team that transforms raw risk and payments data into real‑time decisions that power our platform. You’ll drive critical proof‑of‑concept (POC) and proof‑of‑value (POV) projects for enterprise customers and financial institutions—often the most critical phase prior to any successful partnership is signed. This hands‑on leadership role is for someone passionate about fraud prevention, building from first principles, and thriving in high‑stakes environments.
Responsibilities
Lead end‑to‑end POCs and POVs with prospective customers to demonstrate fraud‑loss reduction and ROI.
Build, optimize, and scale real‑time decision systems combining ML models, features, and rules across billions of events.
Hire, coach, and mentor a team of fraud analysts and data scientists.
Implement experimentation frameworks (A/B tests, bandit models) to validate new strategies.
Partner with Product, Engineering, and Commercial teams to embed insights into dashboards, APIs, and pricing strategies.
Present findings and strategies to customers, execs, and external stakeholders in a clear and compelling way.
Drive roadmap thinking on new signals, feature builds, and feedback loops that make our platform smarter and faster.
Qualifications
7+ years in fraud analytics, data science, or machine learning; 2+ years leading technical teams that ship real‑time risk solutions at high‑growth payments, financial, or fintech companies.
Proven record of reducing fraud losses and false positives for consumer and/or B2B products, processing millions of daily transactions or selling millions of products annually at a minimum.
Strong background in applied ML, anomaly detection, and experimentation design.
Advanced SQL skills and familiarity with modern data infra (Kafka, Flink, feature stores, vector DBs).
Executive presence and storytelling ability; able to communicate data insights to technical and non‑technical stakeholders.
Experience owning and delivering POC/POV workstreams with measurable customer outcomes.
Compensation Base pay range of
$250,000‑$270,000 USD / $310,000‑$375,000 CAD
+ Series C equity with tremendous upside potential + Attractive benefits.
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, year‑end break, and self‑care days off.
Health insurance, dental, and vision coverage for employees and dependents (US and Canada specific).
4% matching in 401(k) / RRSP (US and Canada specific).
MacBook Pro delivered to your door.
One‑time stipend to set up a home office.
Monthly meal stipend.
Monthly social meet‑up stipend.
Annual health and wellness stipend.
Annual learning stipend.
Unlimited access to an expert financial advisory.
How to Apply 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.
#J-18808-Ljbffr