Senior Data Scientist – Digital Intelligence, Device Signals

🕒 Abril 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $185.000 / ano

⏰ Tempo Integral

🟠 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

• Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention—balancing precision, recall, and real-world adversarial dynamics. • Contribute to the development of scalable data pipelines and production ML workflows using structured and unstructured telemetry (e.g., browser, mobile, session data). • Investigate high-complexity signals (e.g., emulator use, spoofing, low-entropy fingerprints), applying advanced statistical methods and domain knowledge to detect fraud and abuse. • Translate ambiguous business problems into modeling approaches, using a combination of supervised, unsupervised, and heuristic techniques. • Partner with engineering, product, and risk teams to contribute to data architecture decisions, signal collection, and planning. • Drive experimental design, A/B testing frameworks, and robust validation techniques to ensure model generalizability and long-term trust. • Contribute to team standards for ML explainability, risk evaluation, and feature logging. • Document methodologies and communicate results effectively through dashboards, presentations, and reports for both technical and executive audiences. • Mentor junior data scientists and participate in cross-functional working groups.

🎯 Requisitos

• Master’s degree (or equivalent practical experience) in Computer Science, Machine Learning, Statistics, or a related quantitative field. • 6+ years of experience in data science or applied machine learning, including experience working in production environments. • Excellent SQL skills and extensive experience with large-scale databases and data modeling. • Proven track record of deploying and maintaining ML models in live systems, ideally involving streaming or near-real-time data. • Proficiency in Python and distributed computing tools (e.g., Spark, PySpark). • Hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or similar. • Excellent communication skills—able to explain complex technical results to non-technical stakeholders and senior leadership. • Experience designing and interpreting experiments, working with real-world noisy datasets, and applying sound validation techniques to assess model robustness. • Demonstrated ability to break down ambiguous problems, apply analytical rigor, and uncover meaningful insights that influence product or risk strategies. • Strong judgment across data quality, model selection, and business impact tradeoffs. • Collaborative mindset and experience working cross-functionally with product, engineering, and analytics teams.

🏖️ Benefícios

• Offers Equity • Offers Bonus