Data Scientist-Journeyman (Data[KGP2])
Jobleads-US
Description
The role of the journey level Data Scientist is to lead the analysis of programmatic and technical data as it is collected from various program and/or project offices. The Data Scientist will be responsible for working with a multi-network data management specialist to organize and analyze data against predetermined metrics. This person will be responsible for utilizing artificial intelligence (AI) models (CAPRA and or GenAI) to analyze data in support of the proposed gap analyses and business case analyses. Their skillset must include prompt engineering for AI models, data analysis, predictive modeling, and producing concise data summaries.
Responsibilities and Duties
- Coordinate with program and project offices to gather, clean, and integrate technical and programmatic data from multiple sources.
- Work closely with the multi-network data management specialist to structure, maintain, and ensure the integrity of large, complex datasets.
- Analyze data against predetermined metrics to assess sustainment performance, readiness, and capability gaps.
- Apply artificial intelligence and machine learning models (e.g., CAPRA, GenAI) to support gap analyses and business case analyses.
- Develop and refine prompts to optimize the performance and relevance of AI-generated outputs for project needs.
- Build and validate predictive models to forecast sustainment outcomes, readiness trends, and resource requirements.
- Create clear, concise data visualizations and summaries to communicate findings to engineers, logisticians, and program managers.
- Produce technical reports and actionable data summaries that support decision-making and project objectives.
- Collaborate with cross-functional teams, including systems engineers, logisticians, and program managers, to ensure data-driven insights are actionable and aligned with project goals.
Requirements
Minimum Qualifications
- Top Secret Clearance with SAP eligibility Required
- Demonstrated experience delivering results in support of multi-level security projects.
- Accredited B.S. degree relevant to data science or analytics.
- Demonstrated experience in data analysis, predictive modeling, or applied statistics in a technical or programmatic environment.
- Hands-on experience utilizing artificial intelligence and machine learning models, including prompt engineering for GenAI or similar tools.
Desired Qualifications (minimum qualifications plus the following)
- Direct experience supporting ACAT-level programs.
- Advanced degree in a relevant discipline.
- Direct experience working with defense, aerospace, or government programmatic/technical data.
- Experience with Python, R, SQL, or similar languages for data manipulation and analysis.
- Experience automating data workflows and processes using scripting or workflow automation tools.
ACE Group is a Service-Disabled Veteran Owned Small Business that provides expertise in the operational application of current and future airborne weapons systems, with an emphasis on their lethality and survivability in the Battlespace. Our employees draw from a wealth of personal, professional and company experience to provide our Nation's decision makers with the knowledge required to optimally equip our Armed Services with affordable, lethal and survivable weapons systems. We serve as our customers' most trusted agents in their goal of producing enterprise-wide survivability investments and executable programs. ACE Group's philosophy is simple: Our success must be grounded on service and honest relationships. We focus on meeting the needs of our customers and employees, and trust that with those satisfied employees and satisfied customers, the business will take care of itself. ACE Group provides exciting opportunities for professional growth, and generous benefits, including personal time off, individual and family health, vision, and dental benefits, and 401(k) .
ACE Consulting Group is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.
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