Senior Machine Learning Data Scientist

🕒 Maio 15

🏄 California – Remoto

🏄 California – Remote

💵 $135.000 - $165.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Extend

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🛍️ Comércio Eletrônico

🔌 API

🤝 B2B

eCommerce • API • B2B

A Extend é uma empresa que ajuda os comerciantes a gerar receita e proteger seus clientes por meio de soluções modernas de proteção de produtos e frete. Eles oferecem planos de proteção contra falhas de produtos e danos acidentais, além de problemas de envio, como furtos em varandas e entregas danificadas. A Extend fornece uma plataforma fácil de integrar com plataformas de eCommerce como Shopify e BigCommerce, permitindo que os comerciantes ofereçam facilmente planos de proteção e gerenciem reivindicações, com a maioria sendo resolvida em 90 segundos ou menos. A empresa foca em melhorar as margens de lucro e aprimorar a experiência do cliente, oferecendo um processo fácil de registro de reivindicações e transformando clientes em defensores de longo prazo.

Descrição

• Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure • Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches • Design and maintain feature engineering pipelines for model development • Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain • Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies • Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams

🎯 Requisitos

• Hands-on, proactive, and analytical professionals who are passionate about using data to solve complex, real-world problems • Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field • 3+ years of work experience building and deploying machine learning systems into production • Strong proficiency in Python and SQL • Strong understanding of ML fundamentals: model selection, evaluation methodology, feature engineering, and common failure modes • Hands-on experience with PyTorch, scikit-learn, and XGBoost (or similar gradient boosting frameworks) • High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns • Empathetic, humble, and collaborative team player • Candidates must be located within the continental United States

🏖️ Benefícios

• Competitive salary based on experience, with full medical and dental & vision benefits. • Stock in an early-stage startup growing quickly. • Generous, flexible paid time off policy. • 401(k) with Financial Guidance from Morgan Stanley.