<div>
<div>
<h2><strong>Company Description</strong></h2>
<div>Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.</div>
<h2><strong>Job Description</strong></h2>
<div>
<div>Air is looking for motivated, curious, and data-driven individuals to join our team as Senior Implementation Engineers.  Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to use technology and data to solve hard customer problems. Senior Implementation Engineers are responsible for developing new methodologies to answer client questions with Air's data, leveraging quantitative skills to configure Air's technology to achieve customer outcomes, communicate data-driven insights to executives in the national security community, and oversee cross-functional teams to produce compelling program insights, data visualization, and briefings. </div>
<div> </div>
<div>In order to do this job well, you must be analytical, understand people, have a strong drive to use technology to solve the hardest problems, have business acumen, and want to learn everything, particularly about the most pressing national security challenges confronting the nation and how data and machine learning can help address them.</div>
<div> </div>
<div>You understand the US Government and Defense acquisition processes and the importance of effective and efficient program management, supply chain risk management, and program and technology modernization. You ask hard, uncomfortable questions. You have a professional acumen that allows you to lead conversations with top government agency officials. You know there are always multiple answers to hard problems, and you know how to engage in a constructive dialogue to find the best path forward.</div>
<div> </div>
<div>This role is a full-time position located out of our office in Arlington, VA.</div>
<div><strong>This role requires 60% travel to client sites across the United States - CONUS and OCONUS</strong></div>
</div>
</div>
<div>
<h3>Scope of Responsibilities</h3>
<ul>
<li>Develop expertise in Air's clients, offerings and data, and support customers as an Air product and data expert</li>
<li>Execute the successful implementation of software and data to Air's customers and provide platform training</li>
<li>Use coding languages (SQL, Python) to conduct technical platform configuration and data integration</li>
<li>Build and manage client relationships</li>
<li>Lead execution teams and/or workstreams</li>
<li>Collaborate with Air Engagement Managers and Product Managers to capture market demand and user needs for inclusion into Air's offerings</li>
<li>Proactively drive utilization of the product using targeted training and engagement strategies that drive mission outcomes and analytical insights for platform users</li>
<li>Develop and maintain documentation such as tailored user guide reference materials</li>
<li>Conduct research and develop quantitative analytic reports using Air technology and data</li>
<li>Orally and visually present data-driven findings in a concise and compelling manner to internal teams, as well as government officials</li>
<li>Demonstrate knowledge in areas such as US Government programs and operations, federal acquisitions and program management, government procurement practices, supplier assurance, federal contracting, Planning, Programming, Budgeting, and Execution (PPBE), Supply Chain Risk Management, and Open Source Intelligence (OSINT) analysis.</li>
</ul>
<div><strong>Depending on your background and expertise, you could also be responsible for:</strong></div>
<ul>
<li>Provide technical workflow development and configuration</li>
<li>Communicate data-driven insights to executives in the national security space</li>
<li>Conduct in-depth quantitative and qualitative analyses on problems of importance to U.S. national security community using data visualization, compelling written papers and briefings</li>
<li>Provide product demonstrations in support of sales pursuits efforts</li>
<li>Mentor team members to increase skill and domain expertise</li>
</ul>
</div>
<div>
<h3>Qualifications</h3>
<ul>
<li>U.S. Citizenship is required</li>
<li>Bachelor’s Degree in International Relations, Political Science, International Security, Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science or similar fields, or 6+ years of equivalent experience</li>
</ul>
<div><strong><u>Required Skills: </u></strong></div>
<ul>
<li>Proficiency in at least one programming language - SQL, Python, or R - sufficient to independently write, debug, and adapt code in a client-facing setting. Working ability in one is required; comfort across several is preferred. Familiarity with Excel, React, Typescript, Java, C, or GoLang is a plus.</li>
<li>6-10 years experience performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills</li>
<li>Knowledge of defense acquisition life cycle and program management, technology scouting, and supply chain risk management</li>
<li>History of engaging with and presenting to federal Government stakeholders</li>
<li>Excellent professional demeanor with a willingness to work outside of your comfort zone in a fast-paced environment without hesitation</li>
<li>Strong aptitude for solving open-ended issues in unpredictable, unstructured environments</li>
<li>Outstanding listening, verbal, and written communication skills</li>
<li>Ability to manage multiple work-streams and projects, learn quickly, and work independently with little supervision</li>
</ul>
<div><strong><u>Desired Skills: </u></strong></div>
<ul>
<li>Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship</li>
<li>Experience in or exposure to the nuances of a startup or other entrepreneurial environment</li>
<li>Master’s degree in International Relations, Political Science, International Security,  Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science or similar fields</li>
<li>3-7 years of experience in user support or user engagement with a focus on platform and product utilization</li>
<li>Experience with advisory services, software-as-a-service (SaaS), information services, analytic tools, or data analytics industries</li>
<li>Demonstrated ability to conduct relevant business case studies and market analysis using internal and open-source data sources</li>
</ul>
</div>
<div>
<div><em>We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</em></div>
<div> </div>
<div><strong>Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div>
</div>
</div>

Senior Data Analyst

<div>
<h2><strong>Company Description</strong></h2>
<div>Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.</div>
<h2><strong>Job Description</strong></h2>
<div>
<div>We are seeking an inquisitive data scientist to join our team and work with our various datasets to find connections, knowledge, and potential issues in order to help our government clients make more informed decisions.  Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. You will have the opportunity to expand and grow data-driven research across Air, and lead new areas to apply advanced analytics to drive business results. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life.</div>
<div> </div>
<div>In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality. </div>
<div> </div>
<div>This role is a full-time position located out of our office in Pittsburgh, PA. </div>
<div> </div>
<div>This role may require up to 25% travel.</div>
</div>
</div>
<div>
<h3>Scope of Responsibilities</h3>
<ul>
<li>Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms</li>
<li>Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems </li>
<li>Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices </li>
<li>Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases</li>
<li>Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Air SaaS platform</li>
<li>Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code</li>
<li>Partner with internal Air business analysts and external client teams to seek out the best solutions regarding data-driven problem-solving</li>
<li>Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers</li>
</ul>
</div>
<div>
<h3>Qualifications</h3>
<ul>
<li>U.S. Citizenship is required</li>
</ul>
<div><strong><u>Required Skills: </u></strong></div>
<ul>
<li>Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master’s or PhD preferred</li>
<li>Minimum 3 years of hands-on data science experience</li>
<li>Minimum 3 years of experience deriving key insights and KPIs for external and internal customers</li>
<li>Regular development experience in Python</li>
<li>Prior hands-on experience working with data-driven analytics </li>
<li>Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets </li>
<li>Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms </li>
<li>Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks)</li>
<li>Ability to work independently with little supervision</li>
<li>Strong communication and interpersonal skills</li>
<li>A burning desire to work in a challenging fast-paced environment</li>
</ul>
<div><strong><u>Desired Skills: </u></strong></div>
<ul>
<li>Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship</li>
<li>Experience in or exposure to the nuances of a startup or other entrepreneurial environment</li>
<li>Experience working on agile/scrum teams</li>
<li>Experience building datasets from common database tools using flavors of SQL</li>
<li>Expertise with automation and streaming data</li>
<li>Experience with major NLP frameworks (spaCy, fasttext, BERT)Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS</li>
<li>Familiarity with Git source control management</li>
<li>Experience working in a product organization</li>
<li>Experience analyzing financial, supply chain/logistics, or intellectual property data</li>
</ul>
</div>
<div>
<div>We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</div>
<div> </div>
<div><strong>Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div>
</div>

Data Scientist

<div>
<h2><strong>Company Description</strong></h2>
<div>Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.</div>
<h2><strong>Job Description</strong></h2>
<div>
<p>The Lead Data Scientist will provide visionary technical leadership to a team of data scientists and AI engineers, driving the end-to-end development and deployment of cutting-edge Artificial Intelligence solutions for our National Security clientele. This crucial position is key to building a strong culture of advanced agentic search, deep research, retrieval, and AI, and to creating scalable AI platforms for the wider AI and Data Science community.</p>
<p>As a hands-on technical leader, you will apply deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. This involves designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will also have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. You will build and lead the development of advanced agentic search, knowledge retrieval, and deep research systems. These systems are designed to provide deep conversational knowledge explorations, robust problem solving, accurate question answering, and a suite of other search, recommendation, and discovery capabilities, transforming proprietary and commercial datasets into mission-critical insights.</p>
<p>To excel in this position, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver who possesses excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You must be independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation, demonstrating a passion for great work and an intolerance for mediocrity. We seek an uber-smart, creative, out-of-the-box thinker who is challenged by complex defense problems and obsessed with quality and rapid prototyping/deployment, knowing how to engage in constructive dialogue to find the best path forward</p>
This role is a full-time position located out of our office in Pittsburgh, PA. 
<p>This role may require up to 10% travel</p>
</div>
</div>
<div>
<h3>Scope of Responsibilities</h3>
<ul>
<li>Drive the architecture and development of the 'Air Brain,' a complex, multi-modal intelligent agent system for knowledge retrieval and deep research, serving as the central nervous architecture for powering agentic AI search, deep research, RAG, and knowledge graph systems across Air Enterprise Readiness platform.</li>
<li>Define the multi-year technical roadmap for AI initiatives, turning vague business challenges into concrete, scalable research and product goals.</li>
<li>Raise the collective bar by mentoring Senior-level engineers and building high-performing teams that consistently deliver state-of-the-art (SOTA) results.</li>
<li>Drive consensus across disparate groups such as DS and AI, Product, Forward Deployed AI and Engineering, to ensure AI deployments are technically sound, commercially viable, and responsible.</li>
<li>Act as the authority on scientific breakthroughs and model strategy, ensuring that core architectures, training methodologies, and data ecosystems are robust, cost-effective, and future-proofed against the rapidly evolving AI landscape</li>
<li>Lead the end-to-end execution of large-scale AI projects, ensuring alignment with strategic objectives and timely delivery.</li>
<li>Lead the development of advanced agentic search, knowledge retrieval, and deep research systems.</li>
<li>Drive the expansion of data-driven research and advanced analytics for strategic business and national security results.</li>
<li>Design and deploy Agentic AI systems capable of deep conversational knowledge explorations, robust problem solving, and accurate question answering from proprietary datasets.</li>
<li>Act as the primary Individual Contributor (IC) and technical lead for complex AI/ML/DS projects, taking deep ownership from ideation to production deployment.</li>
<li>Serve as the domain expert in AI Search Science  (ranking, query understanding, agentic search, deep research, embedding models, etc), driving the application and development of state-of-the-art methods within that specialization.</li>
<li>Work closely with partner teams, including AI research, data engineering, and software development, to define robust software architecture, set the project roadmap, and manage technical execution.</li>
<li>Collaborate with the Product team to clearly define product scope, translating high-level requirements into actionable technical plans and delivering market-ready AI solutions integrated with client data platforms and workflows.</li>
<li>Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.</li>
<li>Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.</li>
<li>Mentor and guide junior and senior team members, fostering a culture of technical excellence, continuous learning, and high-impact work.</li>
<li>Nurture a robust AI culture within the team by leading technical discussions, conducting internal workshops, and promoting best practices in model development, experimentation, and MLOps.</li>
<li>Demonstrate strong leadership qualities to align the team's AI strategy effectively with overall business and client needs, translating complex technical concepts into strategic business impacts for leadership.</li>
</ul>
</div>
<div>
<h3>Qualifications</h3>
<ul>
<li>U.S. Citizenship is required</li>
</ul>
<div><strong><u>Required Skills: </u></strong></div>
<div>
<ul>
<li>Minimum of 7 years of professional experience working as a Data Scientist in an industry setting</li>
<li>Oversee the full lifecycle of large-scale AI projects.</li>
<li>Understanding of coding AI (such as Claude Code) and experience in using it to scale up AI team deliveries</li>
<li>Expertise in designing and implementing Retrieval-Augmented Generation (RAG) architectures and complex indexing strategies for proprietary, large-scale, heterogeneous datasets. Expertise in fine-tuning multi modal embedding models</li>
<li>Proven ability to leverage state-of-the-art LLMs, multi-modal embedding models, vector databases, and knowledge graph systems to build production-ready knowledge retrieval, conversational AI search, and Deep Research systems. </li>
<li>Practical experience building hybrid knowledge retrieval systems that combine advanced techniques like embedding models, knowledge graphs, and traditional methods (e.g., BM25), utilizing novel paradigms such as GraphRAG, RAG-RL, and other advanced retrieval strategies.</li>
<li>Deep knowledge of and practical experience with ranking and reranking models, including multi-tower, bi-encoder and cross-encoder architectures, specifically within the context of search and knowledge retrieval systems.</li>
<li>Expert proficiency in developing and deploying multi-agent AI systems and reasoning frameworks (e.g., ReAct, Chain-of-Thought) for complex knowledge exploration, robust problem-solving, and decision support within search and retrieval contexts.</li>
<li>Ensure timely project delivery and strategic goal alignment.</li>
<li>Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).  </li>
<li>Define robust software architecture for large-scale AI systems and project roadmaps.</li>
<li>Translate high-level product requirements into actionable technical plans.</li>
<li>Deliver production-ready AI solutions integrated with clients' data platforms and workflows.</li>
<li>Drive the implementation of scalable AI/ML platforms.</li>
<li>Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations</li>
<li>Champion innovation and best practices across the organization.</li>
<li>Mentor and coach team members.</li>
<li>Foster a high-performing culture of technical excellence and continuous growth.</li>
<li>Help to the leadership to align AI strategy effectively with client needs.</li>
<li>Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.</li>
</ul>
</div>
<p><strong><u>Desired Skills: </u></strong></p>
<ul>
<li>A strong publication record in the top conferences in one of the AI, ML NLP, and decision science areas</li>
<li>Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems</li>
<li>Experience in LLM post-training or fine-tuning.</li>
<li>Demonstrate strong National Security domain knowledge.</li>
<li>Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).</li>
<li>Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions</li>
</ul>
</div>
<div>
<div>We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</div>
<div> </div>
<div><strong>Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div>
</div>

Lead Data Scientist - Knowledge Retrieval

<div>
<h2><strong>Company Description</strong></h2>
<div>Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.</div>
<h2><strong>Job Description</strong></h2>
<div>
<p>The Lead Data Scientist will provide visionary technical leadership to a team of data scientists and AI engineers, driving the end-to-end development and deployment of cutting-edge Artificial Intelligence solutions for our National Security clientele. This pivotal AI leadership role is instrumental in establishing a robust culture of decision-making Agentic AI and creating the AI platforms, the "brain" of  Air, designed to be leveraged by a broad community of AI and Data Science professionals within Air.</p>
<p>As a hands-on technical leader, you will apply deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. This involves designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will also have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. You'll apply your deep knowledge in advanced simulation and optimization techniques, including Discrete Event Simulation, Monte Carlo methods, and stochastic optimization, to enhance our platforms to handle complex capability simulation and optimization techniques for critical defense use cases.</p>
<p>To excel in this position, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver who possesses excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You must be independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation, demonstrating a passion for great work and an intolerance for mediocrity. We seek an uber-smart, creative, out-of-the-box thinker who is challenged by complex defense problems and obsessed with quality and rapid prototyping/deployment, knowing how to engage in constructive dialogue to find the best path forward.</p>
This role is a full-time position located out of our office in Pittsburgh, PA or open to Remote Opportunities. 
<p>This role may require up to 10% travel</p>
</div>
</div>
<div>
<h3>Scope of Responsibilities</h3>
<ul>
<li> Drive the development of a complex, multi-modal decision intelligence system, serving as the central nervous architecture for integrating advanced simulation, optimization, and predictive modeling capabilities across Air Enterprise Readiness platform.</li>
<li> Define the multi-year technical roadmap for AI initiatives, turning vague business challenges into concrete, scalable research and product goals.</li>
<li>Raise the collective bar by mentoring Senior-level engineers and building high-performing teams that consistently deliver state-of-the-art (SOTA) results.</li>
<li>Drive consensus across disparate groups such as DS and AI, Product, Forward Deployed AI and Engineering, to ensure AI deployments are technically sound, commercially viable, and responsible.</li>
<li>Act as the authority on scientific breakthroughs and model strategy, ensuring that core architectures, training methodologies, and data ecosystems are robust, cost-effective, and future-proofed against the rapidly evolving AI landscape</li>
<li>Lead the end-to-end execution of large-scale AI projects, ensuring alignment with strategic objectives and timely delivery.</li>
<li>Apply deep knowledge in advanced simulation and optimization techniques, including Discrete Event Simulation, Monte Carlo methods, and stochastic optimization.</li>
<li>Enhance our platforms to handle complex capability simulation and optimization techniques for critical defense use cases.</li>
<li>Act as the primary Individual Contributor (IC) and technical lead for complex AI/ML/DS projects, taking deep ownership from ideation to production deployment.</li>
<li>Serve as the domain expert in a specific area of AI (e.g., Deep Learning, Natural Language Processing, Decision Science), driving the application and development of state-of-the-art methods within that specialization.</li>
<li>Work closely with partner teams, including AI research, data engineering, and software development, to define robust software architecture, set the project roadmap, and manage technical execution.</li>
<li>Collaborate with the Product team to clearly define product scope, translating high-level requirements into actionable technical plans and delivering market-ready AI solutions integrated with client data platforms and workflows.</li>
<li>Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.</li>
<li>Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, including advanced methods in simulation and optimization, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.</li>
<li>Mentor and guide junior and senior team members, fostering a culture of technical excellence, continuous learning, and high-impact work.</li>
<li>Nurture a robust AI culture within the team by leading technical discussions, conducting internal workshops, and promoting best practices in model development, experimentation, and MLOps.</li>
<li>Demonstrate strong leadership qualities to align the team's AI strategy effectively with overall business and client needs, translating complex technical concepts into strategic business impacts for leadership.</li>
</ul>
</div>
<div>
<h3>Qualifications</h3>
<ul>
<li>U.S. Citizenship is required</li>
</ul>
<div><strong><u>Required Skills: </u></strong></div>
<ul>
<li>Minimum of 7 years of professional experience working as a Data Scientist in an industry setting</li>
<li>Oversee the full lifecycle of large-scale AI projects.</li>
<li>Possess deep knowledge and the ability to apply techniques such as Discrete Event Simulation (DES), agent based modeling and Monte Carlo methods to model complex capabilities.</li>
<li>Deep understanding and application of advanced optimization techniques, specifically including stochastic optimization.</li>
<li>Deep understanding and practical experience with Bayesian optimization, causal discovery, and causal modeling.</li>
<li>Ability to leverage simulation and optimization knowledge to enhance platforms for complex capability simulation and optimization in critical defense use cases.</li>
<li>Understanding of coding AI (such as Claude Code) and experience in using it to scale up AI team deliveries</li>
<li>Expertise in leveraging deep technical knowledge of AI solution internals (such as Deep Research systems) to design and implement custom, highly optimized solutions.</li>
<li>Ensure timely project delivery and strategic goal alignment.</li>
<li>Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).  </li>
<li>Define robust software architecture for large-scale AI systems and project roadmaps.</li>
<li>Translate high-level product requirements into actionable technical plans.</li>
<li>Deliver production-ready AI solutions integrated with clients' data platforms and workflows.</li>
<li>Drive the implementation of scalable AI/ML platforms.</li>
<li>Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations</li>
<li>Champion innovation and best practices across the organization.</li>
<li>Mentor and coach team members.</li>
<li>Foster a high-performing culture of technical excellence and continuous growth.</li>
<li>Help to the leadership to align AI strategy effectively with client needs.</li>
<li>Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.</li>
</ul>
<p><strong><u>Desired Skills: </u></strong></p>
<ul>
<li>A strong publication record in the top conferences in one of the AI, ML NLP, and decision science areas</li>
<li>Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems</li>
<li>Experience in LLM post-training or fine-tuning </li>
<li>Demonstrate strong National Security domain knowledge.</li>
<li>Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).</li>
<li>Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions</li>
</ul>
</div>
<div>
<div>We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</div>
<div> </div>
<div><strong>Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div>
</div>

Senior Data Scientist - Simulation / Optimization

<div>
<h2><strong>Company Description</strong></h2>
<div>Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.</div>
<h2><strong>Job Description</strong></h2>
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<div>We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Air end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop a wide range of solutions that transform natural language data into useful features for classification algorithms, as well as implement the latest technology to improve user search functionality. </div>
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<div>In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed models and solving problems in an ambiguous space. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy. </div>
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<div>This role is a full-time position located out of our office in Pittsburgh, PA. </div>
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<div><strong>This role may require up to 10% travel</strong></div>
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<h3>Scope of Responsibilities</h3>
<ul>
<li>Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform</li>
<li>Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods</li>
<li>Ability to work with taxonomy experts to create and validate dataset annotation</li>
<li>Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features</li>
<li>implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Air Enterprise Readiness platform to enhance user experience.</li>
<li>Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system</li>
<li>Establish meaningful criteria for evaluating algorithm performance and suitability</li>
<li>Implement working, scalable, production-ready models and code</li>
<li>Keep up to date with Machine Learning best practices and evolving open-source frameworks</li>
<li>Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks</li>
<li>Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers</li>
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<h3>Qualifications</h3>
<ul>
<li>U.S. Citizenship is required</li>
<li>Advanced degree, or bachelor’s with at least 3 years of experience, in Data Science, Machine Learning or a related field</li>
</ul>
<div><strong><u>Required Skills: </u></strong></div>
<ul>
<li>Minimum 3 years experience with hands-on development of NLP models</li>
<li>In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling</li>
<li>Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models</li>
<li>Advanced software skills in Python</li>
<li>Advanced ability in forming SQL queries</li>
<li>A strong desire to learn, investigate, and implement cutting-edge technologies</li>
<li>Ability to work collaboratively throughout the design process.</li>
</ul>
<p><strong><u>Desired Skills: </u></strong></p>
<ul>
<li>Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship</li>
<li>Experience in or exposure to the nuances of a startup or other entrepreneurial environment</li>
<li>Experience in deploying ML models in Kubernetes environments</li>
<li>Experience developing custom training sets for large language models</li>
<li>Experience productionizing transformer-based models</li>
</ul>
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<div>We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</div>
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<div><strong>Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div>
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