What are the responsibilities and job description for the AI Integrator in Wargaming (Data Scientist) position at Unavailable?
Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter . Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA : Objective. Responsive. Trusted.
The Joint, Office of the Secretary of Defense, Interagency Division (JOID) provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.
SPA's NATO Allied Command Transformation Group within JOID provides capability development, portfolio management, program management, quality management, cost estimation analysis, standardization, reporting, software solutions and information management, and capability management support. We also provide an improved capability requirements capture process, including the generation, documentation and tracing of user requirements, with appropriate technical scrutiny, over the entire lifecycle of the requirements from capability definition through capability realization and capability usage.
We have a near-term need for a Data Scientist to provide onsite support to PM-ADM out of HQ SACT in Norfolk, VA.
Responsibilities
The candidate will support the Capability Development Directive of NATO ACT and contribute to the activities of the Political Military–Assisted Decision-Making Team. Will apply knowledge of data models to evaluate the outcomes, veracity, and performance of data models. Engage with the target user to prototype and refine human-computer interfaces to optimize visualization of the relationships between different data entities. Specify and apply appropriate techniques to clean and properly format data for use. Review the benefits and value of techniques and tools, and recommend improvements for cleansing and reformatting data. Define / refine PM-ADM operational, capability, and regulatory requirements, and develop concepts of operation. Work with SMEs to construct data strategies in line with the owning organizations approach to collecting, storing, and analyzing data. Remain up-to-date with new developments in data science and AI to bring innovative ideas into implementation. Will directly support the Program Director and travel to meetings and conferences within and outside NATO’s boundaries for up to 30 days per year.
Qualifications
Required :
- Active Secret clearance
- Bachelor's degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science, or a related field OR four years minimum professional experiencein Data Science, ML, AI within the last 5 years
- Minimum of 4 years in the last 5 years working in data science, ML, orAI engineering in a professional environment (not including studies)
- Demonstrated experience (minimum of 3 years in the last 5 years) in integrating AI technologies into practical applications
- Proficiency in AI and ML frameworks and tools such as TensorFlow,PyTorch, and scikit-learn
- Experience with generative AI models, in particular Large Language Models (LLMs)
- Demonstrated experience (minimum of 3 years in the last 8 years) in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI
- Understanding of wargaming principles and methodologies
- Ability to communicate complex concepts effectively to non-technical stakeholders
- Proven ability to work collaboratively in cross-functional and interdisciplinary teams
- Experience in managing AI-related projects, including planning, execution, and(analytical) reporting
- Experience in multimedia content such as short videos for educational or preparatory purposes, with a willingness to explore AI technologies for content generation
- Knowledge of data security principles and best practices
