Head of Data Science – Fraud Insights

🕒 May 28

🏄 California, Florida, +2 more states – Remote

🏄 California – Remote 🐊 Florida – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $250k - $300k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Socure

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

💼 Consulting

🏥 Healthcare

⚖️ Legal

💰 $450M Series E on 2021-11

Consulting • Healthcare • Legal

Socure is a leading platform for digital identity verification and trust. Utilizing advanced predictive analytics, artificial intelligence, and machine learning technologies, Socure leverages vast online and offline data intelligence including email, phone, address, IP, and device information to verify identities in real-time. Their solutions address challenges in onboarding, login authentication, account takeover prevention, and contact center operations. Socure's AI-powered platform excels in combating identity fraud, ensuring compliance, and enhancing user experiences across various industries such as financial services, eCommerce, online gaming, and crypto.

📋 Description

• Own the Research Agenda • Turn the Identity Graph Into Intelligence • Bridge the Outside World to Internal Models • Tell Stories That Change Minds • Build & Lead a World-Class Team • Influence Product, Models & Strategy • Represent Socure Externally • Drive Go-to-Market Differentiation

🎯 Requirements

• Advanced degree (MS or PhD strongly preferred) in Economics, Statistics, Econometrics, Applied Mathematics, Computer Science, or a related quantitative field • 10+ years of applied experience in data science, fraud analytics, risk research, or quantitative economics, with demonstrable impact at scale • Proven expertise in fraud, identity risk, financial crime, or adjacent domains • Strong command of causal inference, statistical modeling, and modern ML/AI techniques applied to adversarial or risk problems • Track record of external thought leadership — publications, conference presentations, regulatory engagement, or equivalent market-facing credibility • Exceptional written and verbal communication skills; ability to author compelling, rigorous, market-facing research • Experience leading and developing high-performing technical teams

🏖️ Benefits

• Offers Equity • Offers Bonus