About The Role

We are seeking a highly analytical and technically proficient Data Scientist to join our fast-paced Fintech product team. You will leverage statistical analysis, machine learning, and potentially Generative AI to build impactful solutions that drive business outcomes, such as risk modeling, fraud detection, and predictive analytics.

This is a high-ownership role where you will take responsibility for projects from initial problem scoping and data discovery through feature engineering, model building, validation, and final deployment into production systems. You will work closely with data engineers and analytics engineers to ensure the reliability of data pipelines feeding your ML workflows. We require candidates with a strong foundation in computer science, specifically from top-tier institutions, who are comfortable working in a up-to-date, production-grade AI environment.

Key ResponsibilitiesEnd-to-End Model Development

Model Building: Design and develop sophisticated machine learning models for predictive analytics, fraud detection,



and decisioning systems within the fintech domain.
Production Deployment: Take full ownership of deploying models into production environments, ensuring they are scalable, robust, and deliver measurable business value.
Performance Monitoring: Implement continuous learning systems for model evaluation, data refresh, and retraining to maintain high predictive accuracy in production.

Data Pipeline & Infrastructure Integration

Collaboration: Partner with Data Engineers to source, clean, validate, and integrate data pipelines that feed into ML workflows.
Data Quality: Perform rigorous data analysis, preprocessing, and feature engineering to ensure high-quality input for model training.
Big Data Analytics: Extract, transform, and analyze data from large data warehouses utilizing big data technologies.

Cross-Functional Collaboration & Compliance

Stakeholder Engagement: Translate complex, ambiguous business problems into c

📌 Data Scientist (India)
🏢 HYrEzy Tech Solutions
📍 India