Senior Data Scientist

🔥 0 minutes ago

🌲 North Carolina, Pennsylvania, +2 more states – Remote

🌲 North Carolina – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote ⛷️ Utah – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

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BlueFlag LLP

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤝 B2B

🎯 Recruiter

🏛️ Government

B2B • Recruitment • Government

BlueFlag LLP is a company that specializes in providing talent and technology services with a strong focus on project management and talent development. Their aim is to help organizations succeed by offering solutions such as talent sourcing through their Human Algorithm™, project staffing, team assessments, and fractional staffing for efficient part-time roles. Additionally, BlueFlag LLP provides project and program management services, helping clients manage important initiatives and implement tools and processes effectively. They serve a broad spectrum of industries, including government services, insisting on their commitment to public and private sector partnerships. With a foundation built on professionalism, experience, and work ethic, BlueFlag LLP seeks to transform visionary ideas into tangible developments.

📋 Description

• 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

🎯 Requirements

• Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Systems, Business, or a related scientific or technical discipline, and 15+ years of experience (or commensurate experience) • Proficient in Python (pandas, NumPy, SciPy, scikit-learn) and advanced SQL (window functions, CTEs, query tuning) for data analysis • 2+ years of hands-on work on a leading cloud data platform such as Databricks, Azure, AWS, or GCP • Experience across the end-to-end data science workflow, from finding and assessing datasets to production deployment, including experiment tracking and model management with MLflow or similar • Solid grounding in traditional machine learning: supervised and unsupervised methods, gradient-boosted trees (XGBoost, LightGBM), model selection, cross-validation, and hyperparameter tuning • Strong applied statistics: hypothesis testing, regression, sampling, and experimental design • Experience working with large datasets in a distributed environment (Spark/PySpark) • Sound model evaluation practice: picking the right metrics, handling class imbalance, avoiding leakage, and explaining model behavior (for example SHAP or feature importance) • Working knowledge of large language models (LLMs) and agentic AI workflows, including prompt design and RAG patterns • Version control with Git and collaborative development practices (code review, branching, testing) • Ability to explain technical work to non-technical stakeholders and turn ambiguous requests into defined deliverables • Must be a citizen of the United States • Must be able to obtain a public trust clearance • Must be eligible to work in the United States • Desired: 5+ years as a data scientist, shipping multiple products that run in operation • Desired: Working experience with Databricks in Azure, including Unity Catalog, Delta Lake, Databricks Jobs, and Databricks notebooks/Repos • Desired: MLOps experience across the lifecycle, including model serving, governed feature tables, CI/CD, production monitoring, model testing, automated retraining, lineage, and auditability • Desired: Experience with Azure AI services or Mosaic AI • Desired: Prior experience shipping products that use LLMs or AI agents, including evaluation and guardrails • Desired: 2+ years building visual insights with Power BI, Databricks AI/BI dashboards, or Tableau • Desired: Prior experience with R, Stata, or SAS • Desired: Experience refactoring R, Stata, or SAS codebases to Python • Desired: Experience with VA or federal healthcare data and handling PHI/PII under federal privacy and security requirements • Desired: Familiarity with federal AI governance and responsible AI practices • Desired: Experience training or mentoring analysts and data scientists • Desired: Master's or PhD in a quantitative field

🏖️ Benefits

• Competitive salary • Generous annual leave and paid holidays • Comprehensive group health and dental plans • 401(k) with company match • Life insurance and AD&D coverage • Ongoing training and professional development opportunities