Segoso

Data Scientist

• Report directly to the Vice President of Strategic Initiatives and support analytics and modeling projects across account segmentation, contact strategy optimization, and early-warning detection.
• Work with cross-functional teams (operations, compliance, IT) to turn data into actionable insights, build repeatable analytics, and productionize models.
• Build, validate, and maintain predictive models (e.g., credit/payment propensity, churn/risk, contact response) using Python/R and standard ML libraries.
• Clean, explore, and feature-engineer large-structured datasets from multiple sources (payments, contact history, credit bureau, CRM).
• Run A/B tests and propensity-matched experiments to evaluate contact strategies and messaging, measure lift and report results.
• Create dashboards, visualizations, and regular reports for operations and leadership (KPIs: recovery rates, promise-to-pay keep rates, contact conversion, roll rates).
• Assist in productionizing models: packaging, documentation, monitoring, and retraining schedules in collaboration with others.
• Implement and track model performance, fairness, and stability metrics; support model governance and compliance documentation.
• Support data pipelines and ETL tasks; partner with data engineering to ensure data quality and lineage.
• Translate business problems into analytical approaches; present findings and recommended actions to stakeholders.
• Stay current on best practices in supervised/unsupervised learning, causal inference, and responsible AI as applied to collections.

Entry Level Data Scientist – Collections Analytics