Position Details
About this role
This role involves leading data science initiatives focused on deploying models to detect fraud and optimize card product performance, with a focus on real-time detection and automation.
Key Responsibilities
- Lead development of fraud detection models
- Deploy machine learning models
- Analyze transaction data for fraud patterns
- Design data pipelines
- Collaborate with cross-functional teams
Technical Overview
The technical environment includes data pipelines, machine learning frameworks, fraud detection tools, and deployment of models for real-time fraud prevention in a fintech setting.
Ideal Candidate
The ideal candidate is a lead data scientist with extensive experience in deploying machine learning models for fraud detection, especially in card transactions. They possess strong leadership skills, expertise in data pipelines, and a strategic mindset to enhance fraud prevention capabilities.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in fraud detection models, No leadership or mentoring experience, Unfamiliar with deploying ML models in production, Location outside Tallinn
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