Staff Data Scientist – Fraud & Risk

🕒 Fevereiro 4

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $210.000 / ano

⏰ Tempo Integral

🔴 Especialista

📊 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

• Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges. • Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images. • Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments. • Take ownership of project outcomes, data quality, and delivery timelines; proactively escalate issues and work collaboratively to resolve challenges. • Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning. • Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions. • Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection. • Present findings and recommendations to technical and executive stakeholders with clarity and influence. • Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems. • Model Socure’s embedded leadership competencies: continuous learning, effective communication, accountability, team development, decision making, and managing change.

🎯 Requisitos

• Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field; or equivalent professional experience. • 8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment. • Experience in fraud prevention, risk modeling, or identity verification. • Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning). • Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images. • Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn) • Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development. • Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus) • Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus. • Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions. • Excellent communication skills with the ability to translate complex data problems into actionable business insights for both technical and non-technical audiences. • Commitment to continuous learning, professional integrity, and high standards of business ethics.

🏖️ Benefícios

• Offers Equity • Offers Bonus