Data Scientist-POC (Remote - North America)

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.

Qualifications

• 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.

Benefits

• Competitive base salary: $150,000 - $180,000 plus equity with significant upside potential.
• Remote-first culture with flexibility to work from anywhere in North America.
• Generous paid time off including flexible PTO, year-end break, and self-care days.
• Health, dental, and vision coverage for employees and dependents (US and Canada specific).
• Retirement plan matching (401k in the US, RRSP in Canada).
• MacBook Pro delivered to your home and one-time home office setup stipend.
• Monthly meal and social meet-up stipends, plus annual learning and wellness stipends.
• Access to expert financial advisory and opportunities to collaborate with world-class professionals globally.