

Brillfy Technology Inc
Fraud Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fraud Data Scientist on a long-term contract, remote work, offering competitive pay. Key skills include SQL, Python, transaction/payment fraud analysis, and project management. A minimum of 4 years of relevant industry experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
360
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🗓️ - Date
January 16, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#C# #Data Exploration #SQL (Structured Query Language) #Automation #Jupyter #Data Analysis #Statistics #Data Science #Data Manipulation #Python #Cloud #Visualization #Project Management #ML (Machine Learning)
Role description
Title: Data Scientist - Fraud /Risk Management
Location: Remote
Duration: Long-term Contract
Key Skills: Transaction/Payment Fraud, SQL, Python, RAG, LLM, ML Models, Statistics.
Job Description:
Fraud Management looking for an experienced Data Scientist/Data analyst to support in-depth data analysis to protect business and customer experience.
• Experience in automating jobs and streams for data analysis purposes using C#, Python and SQL.
• Experience designing and implementing automated workflows to streamline data processes.
• Strong skills in creating Jupyter notebooks for data analysis, visualization, and pattern detection.
• Ability to develop efficient and user-friendly notebooks and scripts to facilitate data exploration and trend identification.
• Experience in conducting training sessions for individuals or teams on building Jupyter notebooks and other automated processes.
• Ability to effectively communicate complex concepts and empower others to leverage automation tools for data analysis.
• Familiarity with cloud provider and commercial product payment and risk systems is a plus.
• Proficiency in employing statistical analysis techniques and data manipulation to detect patterns and trends.
• Ability to work collaboratively with a global team not all located in the US – flexibility in hours will be a plus.
• Ability to bring innovative ideas and approaches to enhance the effectiveness and efficiency of automated processes.
• Strong project management capabilities to ensure timely delivery, efficient resource allocation, and effective coordination of tasks.
• Ability to prioritize and manage multiple projects simultaneously, ensuring quality and meeting deadlines.
• 4+ years of industry experience is a must.
Title: Data Scientist - Fraud /Risk Management
Location: Remote
Duration: Long-term Contract
Key Skills: Transaction/Payment Fraud, SQL, Python, RAG, LLM, ML Models, Statistics.
Job Description:
Fraud Management looking for an experienced Data Scientist/Data analyst to support in-depth data analysis to protect business and customer experience.
• Experience in automating jobs and streams for data analysis purposes using C#, Python and SQL.
• Experience designing and implementing automated workflows to streamline data processes.
• Strong skills in creating Jupyter notebooks for data analysis, visualization, and pattern detection.
• Ability to develop efficient and user-friendly notebooks and scripts to facilitate data exploration and trend identification.
• Experience in conducting training sessions for individuals or teams on building Jupyter notebooks and other automated processes.
• Ability to effectively communicate complex concepts and empower others to leverage automation tools for data analysis.
• Familiarity with cloud provider and commercial product payment and risk systems is a plus.
• Proficiency in employing statistical analysis techniques and data manipulation to detect patterns and trends.
• Ability to work collaboratively with a global team not all located in the US – flexibility in hours will be a plus.
• Ability to bring innovative ideas and approaches to enhance the effectiveness and efficiency of automated processes.
• Strong project management capabilities to ensure timely delivery, efficient resource allocation, and effective coordination of tasks.
• Ability to prioritize and manage multiple projects simultaneously, ensuring quality and meeting deadlines.
• 4+ years of industry experience is a must.






