Sr. Data Scientist

Job Summary

This role involves independent collaboration to enhance process quality and effectiveness. The individual will analyze data for informed decision-making, implement best practices, and oversee team performance. They will work outside defined processes to determine appropriate actions and solutions, ensuring operational efficiency and effectiveness in technology use.

Essential Responsibilities

• Work closely with cross-functional teams to drive business requirements and perform impact assessments.
• Lead sessions to define payment models, transaction models, data provisioning, data modeling, and software reporting capabilities, and utilize datasets for business recommendations.
• Partner with Data Technology teams to ensure accurate and timely data delivery.
• Triage and drive the resolution of production issues.
• Oversee vital business processes within existing systems to ensure uninterrupted service.
• Highlight bugs and blockers, and coordinate with development and operations teams for resolution.
• Develop product performance dashboards and executive dashboards.
• Perform ad hoc data analysis and provide production support.
• Propose future state solutions and design scalable data solutions.
• Work with engineering and business stakeholders to ensure alignment and successful project outcomes.

Core Responsibilities

• Independent Challenge & Validation: Critically evaluate the effectiveness of fraud strategies developed by the First Line of Defense.
• Fraud Risk Assessment: Perform deep-dive analytics on transactional, Identity data to identify emerging fraud patterns and vulnerabilities that the first line fraud may have missed.
• Domain Knowledge: Deep understanding of fraud typologies (e.g., account takeover, payment fraud, synthetic identity) and risk management frameworks.
• Cross-Functional Consultation: Act as a subject matter expert (SME) to advise senior leadership on the technical and business value of proposed risk controls.

Minimum Qualifications

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Required Technical Skills

• Programming: Advanced proficiency in Python and SQL for extracting insights from large-scale datasets.
• Data Visualization: Skilled in using tools like Tableau, Looker, Power BI, or Python libraries (Seaborn, Plotly) to present complex findings to non-technical stakeholders.