Staff Data Scientist

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🏄 California – Remote

🏄 California – Remote

💵 $195k - $265k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Sift

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🔒 Cybersecurity

💳 Fintech

☁️ SaaS

Cybersecurity • Fintech • SaaS

Sift is an industry leader in digital fraud management, offering robust AI-powered solutions to combat various forms of online fraud such as account takeovers, payment fraud, and chargebacks. With a scalable platform, Sift enables businesses to secure their operations through advanced decision-making and fraud detection technologies. Their platform is trusted by over 700 global brands, providing precise, user-level insights to turn fraud challenges into opportunities for scalable growth. Sift emphasizes the importance of partnerships and a strong community to enhance their fraud decisioning service, fostering secure business development across various sectors like e-commerce, fintech, and travel. Additionally, Sift is recognized for its insights and efforts in fraud industry leadership, featuring capabilities such as payment protection, account defense, and dispute management.

📋 Description

• Architect and own advanced modeling strategies across fraud and abuse problem domains. • Establish and defend model quality standards that account for adversarial dynamics. • Lead statistical innovation on highest-leverage fraud problems. • Partner with ML engineering and information security on adversarial robustness. • Build automated workflows that scale human expertise while respecting fraud complexity.

🎯 Requirements

• 5+ years of hands-on modeling experience with production accountability. • Deep, hands-on knowledge of fraud and information security patterns. • Deep expertise in multiple modeling paradigms: Tree-based methods (XGBoost, LightGBM), deep learning architectures (CNNs, RNNs, transformers), and graph-based methods. • Advanced degree in Statistics, Data Science, Machine Learning, or equivalent. • Proven ability to partner with AI-assisted automation tools. • Comfort working in ambiguity and adversarial contexts.

🏖️ Benefits

• Offers Equity