Data Scientist II – Global Watchlist

🕒 Abril 3

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $170.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

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Socure

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2012

🤖 Inteligência Artificial

🔐 Segurança

💸 Finanças

💰 $450.000.000 Series E em 2021-11

Artificial Intelligence • Security • Finance

Socure é um fornecedor líder de soluções de verificação de identidade e prevenção de fraude baseadas em IA. Sua plataforma, conhecida como RiskOS™, permite que organizações tomem decisões confiáveis em relação à identidade e risco, permitindo a integração e gestão contínua de clientes em vários pontos de contato. Com verificações de identidade precisas e em tempo real realizadas em mais de 190 países, a Socure ajuda a combater fraudes de identidade, garantindo conformidade e melhorando a experiência do cliente.

Descrição

• Develop Analysis Frameworks: Design and maintain scalable frameworks that allow the DSCA team to perform fast, effective client resolutions during POCs, onboarding, and for existing production customers. • Bridge R&D and Operations: Act as the primary technical liaison between Watchlist DS and DSCA, translating complex model behaviors into actionable insights for customer-facing teams. • Build Monitoring & Alerting Systems: Create and manage mission-critical dashboards and real-time alert systems to monitor model performance, identify drift, and surface false positives/negatives at a sub-segment level. • Drive Closed-Loop Model Improvement: Systematically monitor customer production data and POC findings to integrate real-world feedback back into the core model development cycle. • Enhance In-House Pipelines: Build and optimize end-to-end data pipelines (using Spark and Airflow) that support custom reporting and automated performance tracking for Watchlist POCs. • Collaborate Cross-Functionally: Work closely with Product, Engineering, and Compliance to translate customer needs and regulatory requirements into measurable machine-learning objectives.

🎯 Requisitos

• Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or similar) with 3–5 years of experience —or— a Master’s/Ph.D. with 1–3 years of experience. • Strong programming skills in Python and SQL, with hands-on experience in Spark and Databricks. • Experience with Airflow for orchestration and a working knowledge of Infrastructure as Code (e.g., Terraform) and AWS environments. • Solid grasp of descriptive statistics, hypothesis testing, and model evaluation metrics (Precision, Recall, F-beta, ROC-AUC). • Practical experience in data curation, labeling strategies, and building automated data-quality validation checks. • Excellent ability to communicate complex technical findings to both R&D peers and non-technical stakeholders. • A strong interest in NLP, LLMs, and staying ahead of the curve in compliance and regulatory technology. • Experience with Elasticsearch and real-time data indexing is preferred. • Background in AML (Anti-Money Laundering), Sanctions Screening, or Identity Fraud prevention is preferred. • Prior experience in a "Customer Data Science" or "Solutions DS" role where you built tools for internal or external stakeholders is preferred.

🏖️ Benefícios

• Offers Equity • Offers Bonus