Senior 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 that support critical operations, from source data discovery through production deployment

Migrate and modernize client workloads from legacy environments (including R, Stata, and SAS) to Python and Databricks, with measurable gains in runtime, cost, or reliability

Develop, train, and validate ML models (classification, regression, forecasting, clustering, anomaly detection) for complex business problems

Engineer features and build reusable, governed feature pipelines on large datasets with PySpark and SQL

Track experiments, register models, and manage model versions and promotion through MLflow

Deploy models for batch scoring and real-time serving, and automate retraining with scheduled jobs and CI/CD pipelines

Monitor models in production for performance, data drift, and data quality, and set thresholds and alerts that trigger review or retraining

Lead AI adoption with clients, including LLM and agentic use cases such as retrieval-augmented generation (RAG), document summarization, and classification

Evaluate LLM and agent outputs for accuracy, groundedness, and safety before and after release

Document models (purpose, data, assumptions, limitations, evaluation results) so they hold up to governance and responsible AI review

Build reference use cases with tutorials, reference code, and training to drive adoption of cloud tooling for concrete business results

Host office hours and pair with client analysts and data scientists to upskill them

Present findings and model results clearly to technical and non-technical audiences, including leadership

At BlueFlag, we're passionate about leveraging cutting-edge technology to make a real difference. You'll be at the forefront of cloud innovation, working on projects that directly impact people's lives. We offer a high-growth, entrepreneurial environment that values fresh ideas and authentic teamwork.

If you're ready to take your data engineering career to new heights and contribute to meaningful projects that push the boundaries of technology, we want to hear from you. Join BlueFlag and be part of a team that's shaping the future of AI solutions!

5+ years as a data scientist, shipping multiple products that run in operation

Working experience with Databricks in Azure, including Unity Catalog, Delta Lake, Databricks Jobs, and Databricks notebooks/Repos

MLOps experience across the lifecycle, such as:

Model Serving endpoints for real-time inference

Feature engineering and feature tables governed in Unity Catalog

CI/CD for ML with Azure DevOps or GitHub Actions, and Databricks Asset Bundles

Production monitoring for drift and model quality (for example Lakehouse Monitoring)

Champion/challenger or A/B testing of models in production

Automated retraining and model lineage and auditability

Experience with Azure AI services (Azure OpenAI, Azure Machine Learning) or Mosaic AI (Vector Search, Agent Framework)

Prior experience shipping products that use LLMs or AI agents, including evaluation and guardrails

2+ years building visual insights (dashboards and reports) that support operational needs, with Power BI, Databricks AI/BI dashboards, or Tableau

Prior experience with R, Stata, or SAS

Experience refactoring R, Stata, or SAS codebases to Python, including validating that results match

Experience with VA or federal healthcare data, and handling PHI/PII under federal privacy and security requirements

Familiarity with federal AI governance and responsible AI practices (bias testing, model documentation, human oversight)

Experience training or mentoring analysts and data scientists

Master's or PhD in a quantitative field