Data Science Lead for Risk Management
3 days ago
At American Express, we are committed to delivering the world's best customer experience. Our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team plays a critical role in achieving this goal by leveraging data and digital advancements to improve risk management and enable commerce.
About the RoleWe are seeking an experienced Data Science Lead to join our team. As a key member of our organization, you will be responsible for developing, deploying, and validating predictive models to enable profitable decisions across risk, fraud, and marketing.
Responsibilities:- Develop and deploy predictive models using big data and machine learning techniques
- Analyze large amounts of data to derive business insights and create innovative solutions
- Collaborate with cross-functional teams to integrate data-driven insights into business decisions
- Stay up-to-date with industry developments and emerging trends in finance, payments, and analytics
As a Data Science Lead at American Express, you will have the opportunity to work on high-impact projects that drive business growth and deliver exceptional customer experiences. You will also receive a competitive salary, bonus incentives, and comprehensive benefits package, including flexible working arrangements, career development opportunities, and access to global wellness centers.
RequirementsTo be successful in this role, you will need to have a strong background in data science, analytics, or a related field, with 24-48 months of experience in big data workstreams. You must also have expertise in coding languages such as SAS, R, Python, Hive, Spark, and SQL, as well as proficiency in unsupervised and supervised techniques.
Estimated Salary: $120,000 - $180,000 per year-
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