Senior Data Scientist

Job Description

What You’ll Do:Develop & deploy machine learning models to identify and prevent fraudulent behavior.Analyze complex, multi-source datasets to extract patterns and actionable insights.Partner with operations, compliance, and engineering teams on real-time fraud solutions.Conduct investigations into emerging fraud trends and deliver clear, data-backed recommendations.Leverage tools like Python, SQL, SAS, Tableau, Power BI, and cloud platforms (AWS, Azure, GCP).Key Requirements:15+ years of experience in data science, with at least 10+ years in fraud/risk analytics.Strong proficiency in Python, SQL, SAS, and ML techniques (supervised/unsupervised).Deep experience with cloud platforms and large datasets.Knowledge of graph analytics, behavioral modeling, anomaly detection, and network analysis.Familiarity with regulatory compliance and the ethical use of AI.Excellent communication skills – able to explain technical insights to business stakeholders.Bachelor’s or Master’s in Data Science, CS, Math, Statistics, or related field.Nice to Have:Experience in graph-based fraud detection.Understanding of fraud KPIs and real-time detection systems.