This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in United States.

This role is focused on building and deploying advanced machine learning models to optimize credit and fraud risk management. The Data Scientist will work with large-scale, complex datasets to deliver actionable insights and improve business outcomes. You will collaborate closely with engineers to ensure models are production-ready, while maintaining compliance with regulatory standards and responsible AI practices. The position offers opportunities to innovate within a fast-paced, data-driven environment, contributing directly to strategic business decisions. You will also develop tools and workflows that enhance the productivity of the data science team and drive measurable impact across credit risk processes. Strong analytical thinking, technical expertise, and cross-functional collaboration are key to success in this role.

Accountabilities

* Develop and deploy machine learning models for credit and fraud risk assessment.

* Analyze large, complex datasets from multiple sources to inform decision-making on approvals, declines, and credit line assignments.

* Collaborate with engineering teams to integrate models into production systems.

* Conduct ad-hoc analyses related to risk management, operations, and corporate initiatives.

* Monitor and maintain models in production, ensuring continued accuracy and compliance.

* Contribute to the creation of tools and workflows to enhance team efficiency and productivity.

Requirements

* 3–6 years of experience in data science, fintech, or related analytical roles; consumer lending experience is a plus.

* Advanced degree (M.S. or Ph.D.) in statistics, computer science, engineering, economics, or related technical field.

* Proficiency in Python and SQL, with strong coding and model documentation practices.

* Knowledge of machine learning algorithms, feature engineering, and model validation techniques.

* Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.

* Strong interpersonal skills and ability to collaborate across teams.

* Self-motivated, results-oriented, and capable of prioritizing multiple projects in a fast-paced environment.

* Familiarity with regulatory frameworks and responsible AI practices in financial contexts.

Benefits

* Competitive salary and comprehensive health coverage including medical, dental, and vision.

* Flexible time off, paid parental leave, and work-life balance support.

* Opportunities for professional development, learning, and career growth.

* Remote work flexibility within the United States.

* Wellness programs, including mental health resources and employee assistance programs.

* Access to educational perks, legal assistance, childcare support, and additional discounts.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.