Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Data Scientist responsible for interpreting large datasets and managing fraud prevention strategies at Bank of America. Collaborating with various teams to improve risk management and reduce fraud losses.
Responsibilities
- Review and interpret large datasets to uncover revenue generation opportunities
- Ensure development of effective risk management strategies
- Perform graph analytics to find and mitigate fraud networks
- Manage multiple priorities and ensure quality of deliverables
- Collaborate with internal strategy, technology, product, and policy partners
- Support the identification of potential issues and development of controls
- Engage business and technology senior leaders on reporting of project statuses
- Deliver presentations that communicate technical concepts to internal stakeholders
Requirements
- 4+ years of experience in data and analytics
- 4+ years of experience in data analytics within fraud prevention
- Proficient with SQL and one of SAS, Python, or Java
- Familiarity with Graph databases (e.g., TigerGraph, Neo4J) and graph query languages
- Problem-solving skills
- Proven ability to manage projects
- Excellent communication and influencing skills
- Intellectual curiosity and strong urge to figure out the “whys”
- Exposure to model development leveraging supervised and unsupervised machine learning
- Expertise in data analytics and technical development lifecycles
- Expertise handling and manipulating data across its lifecycle
Benefits
- Industry-leading benefits
- Access to paid time off
- Resources and support to employees
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