Senior Data Scientist - ML Engineer

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Requirements:

• 4+ years relevant work experience with a relevant PhD or 6+ years with a relevant Masters.
• Proven track record of solving complex high-profile business problems with data science/machine learning solutions.
• Experience in communicating outcomes to senior management/stakeholders.
• Strong in end-to-end data science development: planning, metrics, solution delivery.
• Strong practical knowledge in machine learning and statistics.
• Experience writing production code and tests.
• Detail-oriented and thoughtful approach to business decision-making.

Responsibilities:

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
• Research new types of fraud and develop new SentiLink products around identity verification.
• Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
• Write production-ready code for real-time decision making.
• Design, perform, and present analyses that will inform various company strategies and priorities.
• Collaborate with other teams to maintain data quality and support data access.