Senior Data Scientist (Identity Focus / Risk) at Chargeflow

Modiin-Maccabim-Reut, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Fraud Analytics, Machine Learning, Python, SQL, MLOps, Risk Modeling, Data Infrastructure, Anomaly Detection, Graph-Based Fraud Detection, E-Commerce, Payments, Data Normalization, Network Analysis, Risk Scoring, Collaboration

Industry

Financial Services

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 A 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. Backed by $49M led by Viola Growth, OpenView, Sequoia Capital and other top tier global 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.

Responsibilities

Develop and enhance fraud detection models, focusing on data normalization and risk scoring. Collaborate with product, engineering, and risk teams to implement fraud prevention strategies.