Data Scientist, Sardine

CA$160-190k

Plus equity. Canadian Salary Range: CA$175K – CA$210K plus equity

SQL

Python

Spark

Senior and Expert level

Remote from Canada, US

Fraud prevention & compliance infrastructure

Open for applications

Fraud prevention & compliance infrastructure

201-500 employees

FintechB2BComplianceMachine LearningSaaSAPICyber SecurityFraud

Open for applications

CA$160-190k

Plus equity. Canadian Salary Range: CA$175K – CA$210K plus equity

SQL

Python

Spark

Senior and Expert level

Remote from Canada, US

201-500 employees

FintechB2BComplianceMachine LearningSaaSAPICyber SecurityFraud

Company mission

To remove the friction and risks associated with high velocity money movement, from banks and cards through to digital wallets and crypto.

Job

Company

Role

Who you are

5+ years of experience in data science or quantitative modeling, ideally in risk or fraud contexts
Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Economics, etc.)
Strong working knowledge of Python, R, Spark, SQL, or equivalent
Sharp critical thinking and creative problem-solving skills with a bias toward action
Proven ability to explain complex technical findings to non-technical stakeholders and clients

What the job involves

As a Data Scientist on our team, you’ll play a key role in helping customers stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact.
You’ll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics.
You’ll also help standardize modeling workflows and collaborate with engineering to streamline backend systems
Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
Build and deploy machine learning models to prevent fraud across diverse fintech use cases
Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience
Work directly with clients to understand challenges and deliver high-impact, data-driven solutions
Evolve our risk metrics, the supporting datasets, and how we measure the causal impact of initiatives
Collaborate with engineering to scale models into production and optimize performance

Our take

Identity and payment fraud is one of the biggest dangers facing online businesses. Sardine is setting out to solve this problem by building the first zero-day fraud prevention technology.

Sardine's technology traces intrinsic behaviour patterns to identify so-called "bad actors" online, and detects fraudsters using machine-learned fraud scores and user behavior biometrics.

The company calls itself the world's first FaaS (Fraud Detection as a Service), and its solutions are already drawing business from next-gen crypto and financial service institutions. Onboarding these institutions and scaling its customer base at pace will ensure that Sardine maintains its frontrunner position.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

21% employee growth in 12 months

Glassdoor (4.5)

Company

Funding (last 2 of 4 rounds)

Feb 2025

$70m

SERIES C

Sep 2022

$51.5m

SERIES B

Total funding: $145.6m

Company benefits

Generous equity compensation
Work from anywhere: Remote-first Culture
Unlimited paid time off and minimum 2 weeks/year of mandatory vacation
100% of health insurance, dental, and vision coverage for employees and 50% for dependents
4% matching in 401k
Company-wide offsites, the last one was at Miami
MacBook Pro delivered to your door
One-time stipend to set up a home office — desk, monitors, etc
Monthly meal stipend
Annual fitness allowance
Unlimited access to an expert financial advisory

Company HQ

SoMa, San Francisco, CA

Leadership

Soups Ranjan

(Co-Founder & CEO)

Previously worked as Director of Data Science & Risk at Coinbase, and was Head of Crypto at Revolut.

Zahid Shaikh

(Co-Founder)

Previously worked as a Senior Product Manager at both PayPal and Uber, and was Senior Product Owner at Revolut.

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