BlueFlag LLP

Data Scientist

• Consult with internal clients to frame business problems as analytical or ML problems, define success metrics, and set realistic scope
• Build data products and workflows supporting critical operations from source data discovery through production deployment
• Migrate and modernize workloads from R, Stata, and SAS to Python and Databricks
• Develop, train, and validate classification, regression, forecasting, clustering, and anomaly-detection models
• Engineer features and build reusable, governed feature pipelines on large datasets using PySpark and SQL
• Track experiments, register models, and manage model versions and promotion through MLflow
• Deploy models for batch scoring and real-time serving; automate retraining with scheduled jobs and CI/CD pipelines
• Monitor production models for performance, data drift, and data quality; configure thresholds and alerts
• Lead client AI adoption, including LLM and agentic use cases such as RAG, document summarization, and classification
• Evaluate LLM and agent outputs for accuracy, groundedness, and safety
• Document models for governance and responsible AI review
• Build reference use cases with tutorials, reference code, and training
• Host office hours and pair with client analysts and data scientists to upskill them
• Present findings and model results to technical and non-technical audiences, including leadership

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