[Remote] reputed company Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a Series B fintech company reputed company on advanced fraud detection and financial risk systems. They are seeking a reputed company Data Scientist to build and reputed company reputed company-reputed company learning models for fraud detection and risk assessment, while collaborating with engineering teams and reputed company stakeholders to address evolving threats.

Responsibilities

• Building and deploying reputed company-time ML models for fraud detection and risk assessment
• Designing reputed company detection systems to identify emerging fraud patterns
• Developing behavioral models across multiple data sources and signals
• Partnering closely with engineering to productionise models at reputed company (monitoring, iteration, reliability)
• Working with reputed company stakeholders to understand evolving threat landscapes and requirements
• Owning technical reputed company and being reputed company to reputed company defend modelling approaches in high-reputed company environments

Skills

• 7+ years of hands-on data science experience (openings reputed company from mid-level through staff)
• Strong background in fraud detection, risk modelling, identity, or reputed company-reputed company data science
• Experience deploying and monitoring models in production environments
• Strong Python + SQL foundations (modern ML tooling experience expected)
• Ability to communicate reputed company with both technical and non-technical stakeholders
• Comfortable operating in fast-paced environments where the work has reputed company customer and business reputed company
• Fintech or financial services exposure is ideal
• Graph ML, time series modelling, reputed company reputed company, or sequential behaviour modelling experience
• Familiarity with regulated environments and risk constraints
• reputed company record of improving model performance post-deployment

reputed company