Data Scientist
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Job Description
Data Scientist supporting LMI’s government technology solutions for Army ammunition planning. Developing forecasts, dashboards, and machine learning analytics to improve resupply and readiness.
Responsibilities:
- Support development, testing, and refinement of forecasting and analytics models for ammunition consumption and resupply
- Maintain and enhance Vantage-based analytics, dashboards, and data products, including incorporating new data sources
- Assist in integrating and validating data into Vantage pipelines to centralize munitions data
- Conduct descriptive, diagnostic, and predictive analytics on historical ammunition consumption and unit forecast data
- Identify trends, anomalies, and opportunities for improvement
- Support requirement-gathering sessions with logisticians, ammunition SMEs, and Government stakeholders
- Define analytical use cases, data needs, and model enhancements
- Develop and maintain reproducible analytical workflows using Python, SQL, and related tools
- Document model logic, assumptions, and limitations
- Assist in monitoring model performance and key metrics
- Prepare visualizations and summary analyses for leadership decision-making, including monthly status reports and briefings
- Support project backlog management by creating and updating user stories and technical tasks related to data science work
Requirements:
- Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, business analytics, or related discipline
- 2–5 years of experience in data science, analytics, or a closely related field
- Demonstrated experience with Python (e.g., pandas, scikit-learn, numpy) and SQL for data preparation, analysis, and basic modeling
- Experience building and validating regression, time series, or classification models
- Experience working with large, structured datasets in relational databases or data warehouses
- Strong quantitative and critical thinking skills; ability to translate ambiguous business questions into analytical problems and solutions
- Ability to communicate analytical findings to non-technical stakeholders in clear, concise terms
- Self-directed, detail-oriented, and comfortable working in an Agile environment with shifting priorities
- Active or attainable SECRET clearance; only US Citizens can obtain a clearance
- Experience supporting an enterprise data analytics platform (e.g., Army Vantage, Army Data Platform, or similar) preferred
- Familiarity with Army logistics processes, ammunition management, or supply chain analytics preferred
- Experience with dashboarding/BI tools (e.g., Power BI, Tableau, or Vantage-native visualization tools) preferred
- Experience with version control (e.g., Git) and Agile/Scrum practices (e.g., JIRA, Confluence) preferred
- Exposure to ML model monitoring and MLOps concepts preferred
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