• Data Scientist

    Amentum (Warren, MI)


    In support of XM30 Program Executive Office Ground Combat Systems (PEO GCS) at the Detroit Arsenal Amentum is currently seeking a qualified candidate to serve as a Data Scientist who is experienced working with a diverse team. 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 onsite.

    Essential 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

    Minimum Requirements:

     

    Secret Clearance

     

    Bachelor's degree and 5+ years experience in Data Science, Computer Science, Statistics, Mathematics, or related field; or a Master degree in Data Science

     

    Experience applying scientific methods to analyze systems, processes, and operational problems

    CADIQ

    Knowledge of mathematics and statistical analysis

     

    Demonstrated ability to prepare clear reports and documentation

     

    Experience analyzing and interpreting data to recommend practical solutions

     

    Strong problem-solving skills with ability to identify significant factors and gather relevant data

     

    Excellent collaboration and communication skills

     

    Ability to plan and organize work effectively

     

    Position will require occasional travel.

    Preferred Qualifications:

    Active Public Trust designation

     

    Advanced degree in Data Science, Computer Science, Statistics, or related field

     

    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.)

     

    Knowledge of machine learning techniques and applications

     

    Background in big data technologies and cloud computing platforms

     

    General 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 (https://postings.govdocs.com/#/vxSkbztPuAwwxfs) .