Job VC
Middle+/Senior Data Scientist (Anti-Fraud) for Citrus Systems
Technologies
Description
Experience in fraud detection (highly preferred) + ability to independently scope and lead ML project end-to-end
Requirements
Position name: Senior Data Scientist — Anti-Fraud System
Level: Senior / Middle+
Hard skills requirements (including years):
Strong experience in Data Science / Machine Learning
Experience in fraud detection systems — highly preferred
Ability to transition rule-based systems to ML/predictive models
Experience with near real-time data processing
Strong knowledge of statistical modeling and ML algorithms
Python (preferred stack, final decision left to the DS)
SQL and database proficiency
Ability to independently scope a data environment and define technical approach
Soft skills requirements:
Ability to independently lead a project end-to-end
Strong communication skills (stakeholder alignment required)
Self-driven, proactive, consultative mindset
Office/Remote: Remote
Project tasks:
Scope existing rule-based fraud detection system (16 static flag types) and define technical approach
Propose and implement ML stack and architecture
Evolve system into dynamic, predictive, learning-based fraud detection model
Work toward near real-time fraud processing as the project scales
Work as part of 2-person AI team with full ownership of the anti-fraud project
Facilitate stakeholder alignment
English level: Upper-Intermediate
Requirements
Position name: Senior Data Scientist — Anti-Fraud System
Level: Senior / Middle+
Hard skills requirements (including years):
Strong experience in Data Science / Machine Learning
Experience in fraud detection systems — highly preferred
Ability to transition rule-based systems to ML/predictive models
Experience with near real-time data processing
Strong knowledge of statistical modeling and ML algorithms
Python (preferred stack, final decision left to the DS)
SQL and database proficiency
Ability to independently scope a data environment and define technical approach
Soft skills requirements:
Ability to independently lead a project end-to-end
Strong communication skills (stakeholder alignment required)
Self-driven, proactive, consultative mindset
Office/Remote: Remote
Project tasks:
Scope existing rule-based fraud detection system (16 static flag types) and define technical approach
Propose and implement ML stack and architecture
Evolve system into dynamic, predictive, learning-based fraud detection model
Work toward near real-time fraud processing as the project scales
Work as part of 2-person AI team with full ownership of the anti-fraud project
Facilitate stakeholder alignment
English level: Upper-Intermediate