Senior Data Scientist (Intelligence)

About the Role The Predict team builds Alloy’s real-time machine learning systems at scale, with an immediate focus on fraud detection. You will help advance core models and partner with customers to drive strong fraud study outcomes. Alloy combines identity signals to build a comprehensive view of risk, and this role sits in a hybrid NYC environment. What You'll Do

• Contribute to the design, training, and evaluation of machine learning models powering Alloy’s fraud detection capabilities.
• Develop testing plans, metrics, performance reports, and translate findings into actionable recommendations.
• Support production ML workflows, including feature generation, model training, and monitoring, to ensure models remain accurate and reliable at scale.
• Document findings and communicate insights to internal teams to foster shared learning and continuous improvement.
• Maintain up-to-date model documentation and support Alloy’s model governance processes to ensure transparency and compliance.
• Stay current with industry trends in applied ML and fraud detection, contributing to Alloy’s mission of safer financial services. What We're Looking For
• 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning with a proven track record in a Solutions or client-facing capacity.
• Expertise in working with highly imbalanced datasets and building production-grade ML models, with specific interest in tree-based models.
• Advanced proficiency in Python and SQL.
• Proven ability to wrangle data at scale (processing billions of records).
• Experience developing metrics and dashboards and communicating findings to both technical and non-technical stakeholders.
• Strong cross-functional collaboration skills and alignment with Alloy values: be bold, get scrappy, collaborate, celebrate differences.
• Experience in highly analytical roles in fast-paced environments; must be local to Greater New York City. Nice to Have
• Previous experience in financial fraud detection.
• Advanced degree (Masters or PhD) in a quantitative field.
• Experience managing end-to-end lifecycle of a technical pilot or Proof of Concept.
• Experience with BI tools like Looker.
• Experience with modeling on graph structures. Compensation & Benefits
• Salary: $212,000 - $251,000 per year. This position is eligible for equity in the form of stock options (ISOs) and a comprehensive benefits package.
• Benefits: Unlimited PTO and flexible work policy; employee stock options; medical, dental, vision with HSA and FSA options; 401k with 100% match up to 4% of annual compensation; paid parental leave; home office stipend; annual Learning & Development stipend; well-being benefits including ClassPass, OneMedical, UrbanSitter, and Spring Health; hybrid work environment with on-site Tuesdays through Thursdays from our HQ in Union Square, NYC.