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Senior Data Scientist

7 hours, 5 minutes ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Spark Azure CI/CD Databricks Feature Engineering Git GitHub Actions LightGBM Machine Learning MLflow MLOps NumPy Pandas Power BI Python R Scikit-learn SciPy SQL Tableau XGBoost
Apply Now
BlueFlag

BlueFlag

BlueFlag LLP offers premier talent and technology services with a focus on professionalism, experience, and collaboration. Transforming visionary concepts into successful developments, we prioritize creating a supportive culture for our team and clients.

Professional Services
1-10
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Description

  • Consult with internal clients to define analytical problems, success metrics, and project scope.
  • Build data products and workflows from source-data discovery through production deployment.
  • Modernize legacy R, Stata, and SAS workloads using Python and Databricks.
  • Develop, train, validate, and deploy classification, regression, forecasting, clustering, and anomaly-detection models.
  • Engineer governed feature pipelines for large datasets using PySpark and SQL.
  • Track experiments, register models, and manage model promotion with MLflow.
  • Implement batch and real-time model serving, automated retraining, and CI/CD pipelines.
  • Monitor production models for performance, drift, and data quality, with alerting and retraining thresholds.
  • Lead LLM and agentic AI use cases, including RAG, summarization, and classification, and evaluate outputs for accuracy, groundedness, and safety.
  • Document models for governance and responsible AI review, create reference implementations, mentor client teams, and present results to technical and executive audiences.

Requirements

  • Bachelor’s degree in a relevant technical, scientific, business, or engineering discipline and 15+ years of experience, or equivalent experience.
  • Proficiency in Python, including pandas, NumPy, SciPy, and scikit-learn, plus advanced SQL.
  • At least 2 years of hands-on experience with Databricks, Azure, AWS, GCP, or another leading cloud data platform.
  • End-to-end data science experience, including dataset assessment, production deployment, experiment tracking, and model management with MLflow or similar.
  • Knowledge of supervised and unsupervised machine learning, gradient-boosted trees, model selection, cross-validation, and hyperparameter tuning.
  • Strong applied statistics, including hypothesis testing, regression, sampling, and experimental design.
  • Experience processing large datasets in distributed environments with Spark or PySpark.
  • Experience selecting evaluation metrics, addressing class imbalance and leakage, and explaining model behavior using methods such as SHAP.
  • Working knowledge of LLMs, agentic AI, prompt design, and RAG patterns.
  • Git-based collaborative development experience and ability to communicate technical work to non-technical stakeholders.
  • Must be a U.S. citizen, eligible to work in the United States, and able to obtain a public trust clearance.
  • Preferred: 5+ years shipping operational data science products; Databricks Azure, Unity Catalog, Delta Lake, MLOps, Azure AI, Mosaic AI, LLM products, BI dashboards, legacy-code modernization, federal healthcare data, responsible AI, mentoring, or a quantitative master’s or PhD.

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.

Interested in this position?

Apply directly on the company website

Apply Now

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