Lead Operations Research/Systems Analyst (ORSA)

As a Lead Operations Research/Systems Analyst (ORSA) at Apex TK, you will be responsible for developing and executing detailed test plans, analyzing data to uncover insights, and enhancing Tactics, Techniques, and Procedures (TTPs) for generative AI (GAI) applications in operational contexts. Your work will directly affect tactical efficiency and decision-making capabilities, making your contributions crucial for national defense.

To apply for the Lead Operations Research/Systems Analyst (ORSA) position at Apex TK, candidates should have 9–12 years of experience in operational testing and ORSA methodologies. Proficiency in quantitative and qualitative analysis methods, as well as in tools such as Python, Excel, and statistical software like JMP, is necessary. Additionally, a Top Secret clearance with SCI eligibility is mandatory.

In the ORSA role at Apex TK, generative AI technologies, especially large language models (LLMs), are used to enhance tactical efficiency and improve decision-making across combatant commands. Your role involves integrating these technologies into operational frameworks that refine the Tactics, Techniques, and Procedures (TTPs) used by military personnel.

Valuable experience for a Lead Operations Research/Systems Analyst (ORSA) at Apex TK includes expertise in operational test evaluation, joint-service integration, and configurations control of test data. Familiarity with data analysis methodologies and a background in developing effective quantitative and qualitative analysis approaches are also key to success in this position.

The salary range for the Lead Operations Research/Systems Analyst (ORSA) position at Apex TK is between $100,000 and $130,000 per year. This compensation reflects both the importance of the role and the expertise needed to excel in the position.

In answering this question, provide specific examples of your past work in operational testing. Mention methodologies you have implemented and how they impacted project outcomes. Tailor your response to showcase your quantitative and qualitative skills relevant to the Lead Operations Research/Systems Analyst position.

When discussing your approach to data analysis for test plans, emphasize your systematic methodology. Highlight your proficiency in tools like Excel and JMP, and provide examples of how you have effectively analyzed data to inform testing strategies in past roles.

In your response, explain the transformative potential of AI, particularly LLMs, in enhancing operational efficiency. Discuss its implications for decision-making and tactical operations, drawing from your knowledge or experiences in the field. This will align with the expertise sought for the Lead Operations Research/Systems Analyst position.

When asked about a challenging project, select an example that highlights your leadership skills and problem-solving abilities. Discuss the project's objectives, the obstacles you faced, and the strategies you employed to overcome those challenges, demonstrating how you ensured successful completion while aligning with the ORSA's goals at Apex TK.

Discuss your commitment to continuous learning in the rapidly advancing fields of AI and operational research. Mention specific resources like industry conferences, journals, or online courses you engage with and how this knowledge contributes to your effectiveness as a Lead Operations Research/Systems Analyst.

Share your strategies for distilling complex data insights into understandable terms for stakeholders, whether through visual aids, reports, or presentations. Provide examples of successful communication you've facilitated in the past that directly informed strategic decisions.

Describe any specific instances where you have collaborated across various branches of the military. Explain the importance of such integration for the success of projects in your previous roles, particularly how it contributes to effective testing and operational evaluations in a military context.

In response, provide details about a project where you utilized Python for data analysis or automating testing processes. Discuss the specific libraries or frameworks you used and how they enabled you to achieve your goals efficiently.

Discuss potential challenges such as data security, operational resistance, or technological limitations. Showcase your critical thinking by proposing solutions to these challenges while emphasizing your readiness to tackle them as the Lead Operations Research/Systems Analyst.

Provide your insights into the future of operational research, emphasizing how AI and data analysis will play a crucial role in evolving military strategies. Share any relevant trends you have observed and substantiate your points with examples from your expertise.