Sr. Manager - Data Science & Analytics

Radial, Inc seeks Sr. Manager - Data Science & Analytics in King of Prussia, PA.

Job Duties

Develop, maintain, evaluate, enhance, and communicate real-time and offline Machine Learning (ML) models for fraud detection. Build and deploy end-to-end ML pipelines and manage MLOps. Optimize ML models for performance, scalability, and cost-effectiveness. Build and maintain anomaly detection algorithms to identify suspicious activities and patterns indicative of fraud. Participate in on-call rotations to provide timely support for critical issues with deployed ML models and anomaly detection processes. Implement data quality monitoring systems to detect anomalies and inconsistencies in incoming data streams. Develop and enhance rule-based strategies to complement ML models for fraud detection. Proactively identify new methods and processes to increase revenue and reduce cost and friction. Work closely with Technology team to build Radial’s Data Science framework. Support cloud transformation to enhance Radial’s Data Science/Machine Learning capabilities. Perform ROI analysis and business case justification / review for new vendor/partner. Regularly report that shows the status and next steps for all Fraud Risk Technology Partners. Serve as main point of contact for off-shore (IDC) and in-house Data Scientist Resources during on and off hours. Manage a team of professionals in fraud decision science, fraud detection, fraud risk analysis, and fraud data science.

Minimum Requirements

Master’s degree, or foreign equivalent, in Data Science, Data Analytics, or a closely related quantitative field and three (3) years of experience in the job offered or three (3) years of experience in the field of Machine Learning, Business/Data Analytics, Statistics, or related occupation.

Special Skills

• Python for Data Analysis, Machine Learning, API development
• SQL
• AWS SageMaker, API gateway, Lambda, S3, EC2
• Developing and implementing machine learning models in risk assessment/scoring engine, and optimizing risk scoring rules
• Scikit-learn, Tensorflow, Pytorch
• Git, Jira, Confluence
• Statistical analysis and experimental design
• Modeling Decision Tree, XGBoost, LGBM, SHAP
• Docker, Jenkins
• Tableau

Any suitable combination of education, training and experience is acceptable.

Apply through the career’s website: with reference to: Job#: JO-2603-11235.

Radial is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Radial is committed to ensuring that its online application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please contact us by emailing View email address on publisher.sourcingsquare.com. We will work to assist disabled job seekers whose disability prevents them from being able to apply online.