
Research Scientist, PhD New Grad
Posted Aug 9

Posted Aug 9
This is a fully remote position, open to applicants in United States.
• Create and sustain fraud detection models throughout the entire model development lifecycle, encompassing data collection and feature creation, labeling, training, experimentation, production deployment, and ongoing monitoring.
• Establish core models for Fraud and Financial Risk offerings.
• Investigate emerging fraud types and design identity-verification solutions.
• Refine models and incorporate new data sources along with innovative feature engineering.
• Develop production-ready code to facilitate real-time decision-making for partners.
• Conduct, execute, and present analyses that guide data acquisition, product enhancement, risk operations, marketing, and sales efforts.
• Work in collaboration with engineering, risk operations, and data acquisition teams to obtain data, ensure data integrity, and assist in data accessibility.
• Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a similar quantitative discipline, or equivalent experience/research.
• Solid grounding in machine learning, statistics, or applied data science.
• Proficiency in Python and familiarity with common data science tools gained through coursework, research, internships, or personal projects.
• Proven ability to analyze complex issues and develop data-driven solutions.
• Excellent communication skills with the ability to articulate technical concepts clearly.
• A keen interest in gaining in-depth knowledge about fraud, identity, and financial risk systems.
• Capability to write clean, maintainable code.
• Strong attention to detail and a curiosity about real-world data challenges.
• Legally authorized to work in the United States.
• Must reside within the United States.
• Ability to excel in a fast-paced environment addressing diverse, high-impact, open-ended challenges.
• Employer-paid group health insurance for you and your dependents.
• 401(k) plan with employer matching contributions.
• Flexible paid time off policy.
• Regular company-wide in-person gatherings.
• Home office stipend.
• Equity opportunities.
Gramian Consulting
Gramian Consulting
Gramian Consulting
Sistema Fibra
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