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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and analytics, with proficiency in Python and SQL for data preparation and modeling. Capable of developing analytical workflows, conducting predictive analytics, and effectively communicating findings to stakeholders.
Highest-signal resume keywords
Python ProgrammingSQL Data AnalysisRegression Model DevelopmentAgile MethodologiesActive SECRET Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data SciencePredictive AnalyticsDescriptive AnalyticsDiagnostic AnalyticsModel ValidationData PreparationStatistical AnalysisQuantitative AnalysisData VisualizationAnalytical Workflows
Soft Skills
Critical ThinkingCommunication SkillsDetail-OrientedSelf-DirectedAdaptability
Tools & Technologies
VantagePower BITableauGitJIRAConfluence
Industry Keywords
Ammunition ManagementSupply Chain AnalyticsArmy Logistics ProcessesData Analytics PlatformMLOps
Tech Stack
Tools & technologiesNumpyPandasPythonScikit-LearnSQLTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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 SECRET clearance
- Only US Citizens can obtain a clearance
- Desired: experience supporting an enterprise data analytics platform such as Army Vantage or Army Data Platform
- Desired: familiarity with Army logistics processes, ammunition management, or supply chain analytics
- Desired: experience with dashboarding/BI tools such as Power BI, Tableau, or Vantage-native visualization tools
- Desired: experience with version control such as Git and Agile/Scrum practices such as JIRA and Confluence
- Desired: exposure to ML model monitoring and MLOps concepts