Okay, I've searched for Data Scientist/Data Analyst roles in Miami that require a TS/SCI clearance, targeting candidates with at least 3 years of experience, focused on data analytics, and proficient in SQL and Python. I found 45 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

In this role as a Data Scientist/Data Analyst at CACI, the core purpose is to enhance decision-making processes through data analytics initiatives that support mission-critical operations. The successful candidate will lead data integration and analytics efforts to provide a comprehensive overview of the operational environment, specifically through the development of the Common Intelligence Picture (CIP) and Common Operational Picture (COP). Responsibilities include managing data pipelines, ensuring data quality across platforms like Advana and Maven Smart, and building analytical models tailored to military operations. Candidates must navigate the complexities of working with classified data, necessitating not only technical expertise in SQL, Python, and ETL processes but also interpersonal skills to collaborate effectively with various stakeholders, including intelligence teams and operational units. Achieving a successful outcome in this role means being able to deliver actionable insights that are timely and accurately meet the command's objectives, while simultaneously fostering a culture of data literacy within the organization, crucial for maximizing the team's effectiveness in high-stakes situations.

Company Analysis:

CACI operates in the defense and technology sector, with a strong emphasis on delivering solutions that support national security and military operations. As a significant player in this area, CACI is deeply involved in providing data-driven insights to enhance operational efficiency, indicating that this role holds substantial influence in shaping strategic outcomes. The company's culture prioritizes integrity, innovation, and trust, fostering an environment where employees are encouraged to contribute uniquely while having the autonomy to grow in their careers. The emphasis on continuous growth aligns with the organization’s dedication to advancing critical missions, which is essential for new hires aiming to integrate swiftly into their roles. Additionally, with the Data Scientist position falling within a larger cross-functional context, candidates must be prepared for visibility among leadership and various internal teams. This collaborative atmosphere will be pivotal not just for individual success but for achieving broader company objectives, particularly in data-driven decision-making initiatives vital to the organization.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to analyze complex data to influence decision-making. What was your approach?
• Describe an experience where you integrated new data sources into an existing system. What challenges did you face and how did you overcome them?
• Can you give an example of a project where you had to promote data literacy within a team? What strategies did you use?
• How would you ensure that the data you are working with meets both compliance standards and operational needs?
• How would you approach developing an ETL pipeline for a new data source? What steps would you take?
• What methods would you use to validate the accuracy of data in the Common Intelligence Picture?
• Imagine you are tasked with designing a machine learning model for real-time intelligence analysis. What factors would you consider in your design?
• If the operational requirements change mid-project, how would you adapt your analysis and data models?
• Why are you specifically interested in the Data Scientist/Data Analyst role at CACI?
• How do your personal values align with CACI's mission of ensuring the safety of our nation?
• Can you discuss your experience with Advana or Maven Smart and how it relates to this role's responsibilities?
• What do you see as the biggest challenge in integrating data across multiple platforms and how would you address it?
• What kind of learning opportunities are you looking for at CACI to grow your career in data science?