Senior Data Scientist

Responsibilities

• Build and extend graph-native models (GNNs, embeddings, and custom graph algorithms) to detect fraud, collusion, and identity risk across banking and e-commerce networks
• Design and deploy statistical, AI/ML, and deep learning models for fraud and risk, including real-time serving
• Run experiments and light data pipeline work to fine-tune model performance

Requirements

• BS/MS/PhD in ML, CS, Math, Stats, or related field; 4 to 7 years in DS/AI/ML Engineering roles

What You'll Do

Ship production-grade software backed by statistics and ML, with ML observability built in

What You'll Bring

• Strong Python; cloud experience (AWS/Databricks/Azure); SQL, DBT, Athena/BigQuery
• Track record shipping production ML, ideally in fintech fraud, risk, payments, or compliance
• Comfort with ambiguity, unlabelled data, and working autonomously to find business impact
• Prior graph-modeling experience a plus

Our Culture

• We hire self-motivated people and get out of their way
• We value performance, not hours worked
• Speed, ownership, and impact matter most

Competitive salary + potential equity

Health benefits, flexible PTO, learning budget