Senior Data Scientist

Develop and deploy traditional machine learning models, including bias modeling, risk mitigation, and predictive analytics

Build scalable ML models and end-to-end ML pipelines suitable for production environments

Perform advanced data quality assessments, validation checks, and feature identification and analysis

Evaluate bias in training data and recommend mitigation strategies aligned with responsible AI practices

Design and implement intermediate models for risk scoring and predictive insights

Apply Generative AI techniques, including prompt engineering, retrieval-augmented generation (RAG), and deployment of GenAI models

Utilize and contribute to LLM evaluation frameworks to assess performance, accuracy, and reliability

Collaborate closely with Product, Engineering, and Business teams to identify, refine, and deliver high-impact AI use cases

Prepare trained models for production, including documentation, testing, and environment replication

Monitor model performance and participate in ongoing model optimization and observability efforts

Communicate complex analyses and results to technical and non-technical stakeholders

Maintain thorough documentation and participate in continuous learning and knowledge sharing across the Data Science team