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Data Scientist-POC (Remote - North America) at Jobgether. This position is posted by Jobgether on behalf of Sardine. We are currently looking for a Data Scientist-POC in North America.. This role offers a unique opportunity to directly shape how organizations detect and prevent fraud using cutting-edge data science techniques. The Data Scientist-POC will work on real-world challenges, designing, prototyping, and deploying machine learning and graph analytics solutions to stop fraud and mitigate risk. You will collaborate closely with clients and engineering teams to deliver high-impact, production-ready models while standardizing workflows and ensuring scalability. Ideal candidates thrive in fast-paced, remote-first environments, are highly self-motivated, and enjoy translating complex data into actionable insights that drive tangible business outcomes. This position balances hands-on technical work with client-facing responsibilities, providing an environment where innovation and problem-solving are highly valued.. . Accountabilities. . Build and deploy machine learning models and data-driven solutions to detect and prevent fraud across diverse financial and fintech use cases.. . Work closely with clients to understand fraud challenges and deliver proof-of-concept and production-ready solutions.. . Standardize modeling workflows and collaborate with engineering teams to integrate and scale models in production.. . Develop risk metrics, datasets, and causal impact analyses to improve fraud detection and mitigation strategies.. . Champion a data-first approach across internal teams, promoting clarity, rigor, and impact.. . Monitor and optimize model performance while ensuring data quality and compliance with standards.. . Communicate technical findings clearly to both technical and non-technical stakeholders.. . . 7+ years of experience in data science, quantitative modeling, or a related field, ideally within risk or fraud contexts.. . Advanced degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Engineering, Economics, etc.).. . Strong proficiency with Python, R, Spark, SQL, or equivalent tools for data analysis and modeling.. . Experience in building, deploying, and maintaining machine learning models in production environments.. . Strong problem-solving, critical thinking, and creative solution design skills.. . Excellent communication skills with the ability to convey complex findings to clients and stakeholders.. . Self-motivated, collaborative, and able to thrive in a remote-first, distributed team environment.. . Company Location: United States.