Staff Data Scientist - ML Engineer

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Requirements:

• 6+ years relevant work experience & relevant PhD or 8+ years & relevant Masters.
• Proven track record of solving complex business problems using DS/ML solutions.
• Experience communicating outcomes and progress to senior management and stakeholders.
• Strong in end-to-end data science development from planning to delivery.
• Practical knowledge of ML and statistical tools; familiarity with SOTA ML solutions is a plus.
• Interest in developing deep domain expertise with a willingness to learn about fraud.
• Experience writing production code and conducting tests.
• Detail-oriented with the ability to make impactful business decisions.
• Thrive in a fast-paced environment solving varied, high-impact problems.
• Bonus: familiarity with identity solutions, fintech, or adjacent industries.

Responsibilities:

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
• Research new types of fraud and develop SentiLink products around identity verification.
• Build foundational modeling to enhance the suite of Fraud and Financial Risk products.
• Conduct iterative research and inventively engineer features.
• Write reliable production-ready code for real-time decision making.
• Design, perform, and present analyses to inform various operational priorities.
• Collaborate with teams for data access and maintain data quality.