Belvo

Data Scientist

• Lead the design of statistical and machine learning models for risk scoring, fraud detection, transaction categorization, and related problems
• Use agentic coding and research tooling to explore data, generate and test feature hypotheses, scaffold pipelines, and write model services
• Partner with Product and business teams to identify meaningful signals and define well-scoped modeling problems
• Build or shape production pipelines, APIs, and services for models
• Own live models, including monitoring, drift detection, retraining, and retirement
• Design and run A/B tests and offline evaluations
• Collaborate with Engineering, Data Research, Product, Intelligence Squad, and business stakeholders
• Work directly with stakeholders and customers when needed
• Explain technical trade-offs and business impact to non-technical audiences and executives
• Stay current on GenAI model releases, papers, and tooling, sharing useful findings through demos, documentation, or AI Chapter sessions
• Decide which problems are worth modeling and use rules, heuristics, or improved data pipelines when they are more appropriate
• Participate in the hiring process through team-based interviews and assessments

Explore Senior Applied Data Scientist at Belvo. Review requirements and application details.