Data Scientist

Position Summary

The Data Scientist is responsible for applying advanced statistical and machine learning techniques to Government’s data to generate predictive insights, develop forecasting models, and support data-driven decision-making. This role works closely with AI Engineers and Data Analysts to integrate predictive capabilities into dashboards and operational systems.

• Build and deploy predictive models for operations (e.g., predictive maintenance, demand forecasting, anomaly detection)
• Perform statistical analysis and trend forecasting on historical data
• Develop machine learning models trained on Government's data for specific use cases
• Integrate predictive analytics into Power BI dashboards and operational systems
• Design and implement AI-assisted data quality checks including ML-based anomaly detection
• Conduct exploratory data analysis to identify patterns and insights
• Evaluate model performance and implement continuous improvement processes
• Collaborate with Data Engineers on data pipeline requirements for ML workflows
• Document model methodologies, assumptions, and performance metrics
• Present findings and recommendations to technical and non-technical stakeholders
• Support AI Governance Board with model performance reporting and bias assessments

• Education:
  
  Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field (Master's with extensive experience considered)
• Experience:
  
  7+ years of experience building and deploying predictive models in production environments
• Technical
  
  Skills:
  • Expert proficiency in Python and/or R for data science
  • Strong knowledge of machine learning algorithms and statistical techniques
  • Experience with ML frameworks (scikit-learn, Tensor Flow, PyTorch)
  • Proficiency in SQL and database querying
  • Experience with cloud data platforms (Azure ML, AWS, GCP)
  • Knowledge of time series forecasting and anomaly detection techniques
  • Familiarity with data visualization tools (Power BI, Tableau)

• Domain knowledge in manufacturing analytics, quality control, or production operations
• Experience in federal government data science programs
• Knowledge of Responsible AI principles and model governance
• Experience with Azure Machine Learning and Azure Synapse Analytics
• Publications or demonstrated expertise in applied machine learning