About this opportunity
Stock Group Analytics lists this Data Scientist opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
Key Responsibilities
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
Required Qualifications
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, TensorFlow, 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)
Preferred Qualifications
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
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.