Data Scientist - Fraud Intelligence & Risk Modeling

Posted 12 Days Ago
Be an Early Applicant
Hiring Remotely in Israel
Remote
Mid level
Artificial Intelligence • eCommerce • Automation
The Role
The Data Scientist will enhance fraud detection capabilities, develop fraud analytics models, analyze fraud patterns, and collaborate with teams to implement prevention strategies.
Summary Generated by Built In
Description

Welcome to Chargeflow

Chargeflow is at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it.

Who We're Looking For - The Dream Maker

We're in search of an exceptional hands-on Data Scientist who can bridge data infrastructure, fraud analytics, and machine learning to enhance our fraud detection capabilities. This role requires someone who can drive projects from ideation to implementation, leading these efforts while thinking strategically about how we detect and prevent fraud at scale. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.

Your Arena

  • Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring.
  • Take ownership to identify, analyze, and implement solutions for fraud patterns and behavioral anomalies.
  • Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy.
  • Collaborate with product, engineering, and risk teams to implement fraud prevention strategies.
  • Own projects end-to-end - balancing short-term wins with long-term strategy.

Requirements

What It Takes

  • 4+ years of hands-on experience in fraud analytics, data science, or risk modeling - Must
  • Proven experience in the Fintech/Fraud Prevention Domain - Must
  • Proven ability to take projects from A to Z in building data infrastructure, anomaly detection, and graph-based fraud detection solutions - Must
  • Strong practical proficiency in Python, SQL, MLOps and fraud-related data tools - Must
  • Strong background in e-commerce or payments - Advantage
  • self-starter mentality - someone who identifies opportunities, takes initiative, and drives improvements with minimal direction.

Our Story

Chargeflow is a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in eCommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, eCommerce, and technology positions us as a beacon for merchants facing unjust chargebacks, supported by a unique success-based approach.

Propelled by nearly $20 million funding round led by OpenView Venture Partners and key fintech investors, Chargeflow has embarked on a product-led growth journey. Today, we represent a tight-knit community of passionate individuals and entrepreneurs, united in our mission to revolutionize eCommerce and fight against chargeback fraud, marking us as pioneers in protecting online business revenues.


Top Skills

Mlops
Python
SQL
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The Company
HQ: Wilmington, Delaware
87 Employees
Year Founded: 2020

What We Do

Chargeflow is the world's first fully automated chargeback automation platform, designed to help eCommerce merchants.

Our hands-off solution enable merchants to focus on growth while improving their overall success rates to the highest in the industry.

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