Senior Machine Learning Data Scientist

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November 3

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Extend

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eCommerce • API • B2B

Extend is a company that helps merchants generate revenue and protect their customers through modern product and shipping protection solutions. They offer protection plans from product failure and accidental damage to shipping issues like porch pirates and damaged deliveries. Extend provides a platform that is easy to integrate with eCommerce platforms like Shopify and BigCommerce. This enables merchants to easily offer protection plans and manage claims, with most being resolved in 90 seconds or less. The company focuses on improving profit margins and enhancing the customer experience by offering easy claim filing and turning customers into long-term advocates.

201 - 500 employees

🛍️ eCommerce

🔌 API

🤝 B2B

📋 Description

• Develop and deploy machine learning models to prevent and detect fraud and abuse, leveraging structured and unstructured data sources. • Own the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, validation, and deployment. • Monitor and maintain models in production to ensure performance and reliability over time. • Collaborate with product and engineering teams to integrate machine learning models into production applications. • Foster a culture of learning, experimentation, and collaboration within and across partner teams.

🎯 Requirements

• 3+ years of experience building and deploying production machine learning models. • Previous experience building fraud detection or risk assessment tools is a strong plus. • Solid understanding of fundamental machine learning and computer science concepts, software design best practices. • Expertise with Python, including common ML/AI libraries such as Scikit-learn, Pytorch, or Tensorflow. • Expertise with SQL; experience with dbt or graph databases is a plus. • Familiarity with large language models (LLMs) and their applications in risk and fraud detection. • Experience with AWS, cloud computing, and/or Typescript is a plus. • Excellent communication and stakeholder management skills, with a track record of working cross-functionally to drive business impact. • Attention to detail, intellectual curiosity, and a deep understanding of user behavior and fraud patterns. • Empathy and humility.

🏖️ Benefits

• 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.