Senior Data Scientist - Full Stack
SentiLinkFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should possess 7+ years of experience in fraud analytics, data science, or machine learning, along with 2+ years of leadership experience leading technical teams that have successfully shipped real-time risk solutions within high-growth payments, financial, or fintech companies. Strong technical skills including applied ML, anomaly detection, experimentation design, and advanced SQL are required, alongside familiarity with modern data infrastructure such as Kafka, Flink, feature stores, and vector databases.
As the Head of Fraud & Risk Data Science, the individual will lead POCs and POVs to demonstrate fraud-loss reduction and ROI, build and optimize real-time decision systems, hire, coach, and mentor a team of fraud analysts and data scientists, implement experimentation frameworks, collaborate with Product, Engineering, and Commercial teams, present findings and strategies to stakeholders, and drive strategic thinking for new signals and feature development.
Fraud prevention and compliance platform
Sardine.ai focuses on fraud prevention and compliance for banks, retailers, and fintech companies. Its platform offers tools for risk scoring, transaction monitoring, and customer due diligence, helping clients detect fraud and prevent money laundering. What sets Sardine.ai apart is its ability to monitor customer interactions for fraud signals, using data from over 35 providers to generate accurate risk scores. The company's goal is to enhance security and compliance for financial institutions and retailers.