Amentum is seeking a Data Scientist to support XM30 Program Executive Office Ground Combat Systems (PEO GCS) at the Detroit Arsenal, applying data science principles to analyze systems, processes, and operational challenges
Requirements
- Experience applying scientific methods to analyze systems, processes, and operational problems
- CADIQ
- Knowledge of mathematics and statistical analysis
- Proficiency in programming languages such as Python, R, or SQL
- Knowledge of Logistics Data Analysis Center (LDAC)
- Enterprise Product Data Management (Windchill)
- Experience with data visualization tools (Tableau, Power BI, etc.)
Responsibilities
- Apply data science principles, concepts, and practices to analyze systems, processes, and operational challenges using scientific methods and techniques
- Perform analytics on complex datasets to identify patterns, trends, and insights that support organizational decision-making
- Develop automated approaches leveraging artificial intelligence / machine learning (AI/ML) and natural language processing (NLP) to streamline the input of programs, processes, and reports for XM30
- Develop data visualization solutions to address operational problems
- Analyze, interpret, and apply data science methodologies in various situations, recommending solutions to senior analysts
- Conduct minor phases of larger analytical assignments, ensuring quality and alignment with project objectives
- Analyze problems to identify significant factors, gather pertinent data, and develop practical, evidence-based solutions
Other
- Bachelor's degree and 5+ years experience in Data Science, Computer Science, Statistics, Mathematics, or related field; or a Master degree in Data Science
- Must have a US Government Secret Clearance. Please note US Citizenship is required to obtain and maintain a Secret Clearance.
- Demonstrated ability to prepare clear reports and documentation
- Excellent collaboration and communication skills
- Ability to plan and organize work effectively
