Data Scientist
Amentum is currently seeking a qualified candidate to serve as a Data Scientist to support XM30 Program Executive Office Ground Combat Systems (PEO GCS) at the Detroit Arsenal. Other duties may be assigned to support client and contract deliverables. Travel may be required but estimated at less than 10%. This position is currently on-site.
Job Duties and 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
- Prepare comprehensive reports, documentation, and correspondence that clearly communicate factual and procedural information
- 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
- Collaborate effectively with team members and stakeholders across functional areas
- Plan and organize work to meet project deadlines and organizational priorities
- Continually expand knowledge of data science techniques and technologies to enhance analytical capabilities
Required Qualifications :
Bachelor's degree and 5+ years experience in Data Science, Computer Science, Statistics, Mathematics, or related field; or a Master degree in Data ScienceMust have a US Government Secret Clearance. Please note US Citizenship is required to obtain and maintain a Secret Clearance.Experience applying scientific methods to analyze systems, processes, and operational problemsCADIQKnowledge of mathematics and statistical analysisDemonstrated ability to prepare clear reports and documentationExperience analyzing and interpreting data to recommend practical solutionsStrong problem-solving skills with ability to identify significant factors and gather relevant dataExcellent collaboration and communication skillsAbility to plan and organize work effectivelyPosition will require occasional travel.Preferred Qualifications :
Active Public Trust designationAdvanced degree in Data Science, Computer Science, Statistics, or related fieldProficiency in programming languages such as Python, R, or SQLKnowledge of Logistics Data Analysis Center (LDAC)Enterprise Product Data Management (Windchill)Experience with data visualization tools (Tableau, Power BI, etc.)Knowledge of machine learning techniques and applicationsBackground in big data technologies and cloud computing platformsGeneral Experience or knowledge with Provisioning, Cataloging, Structure Content Development (RPSTL, etc)Maintenance planning either at a contractor or a user (soldier, etc)General Experience or knowledge with developing logistic support and maintenance actions affecting materiel readiness.Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.