I found several Data Scientist positions in Bethesda, MD that match your criteria. Specifically, there are 97 roles requiring TS/SCI clearance with at least 4 years of experience, focusing on military clients. Some of these positions provide remote work options as well.

Sure. Here's the analysis:

Job Analysis:

The Data Scientist position at Leidos primarily centers on leveraging advanced data analytics to support mission-focused projects, particularly in the realm of national security. The core purpose of this role is to employ data science methodologies to analyze large data sets and deliver actionable insights, which requires a blend of advanced technical skills and practical problem-solving abilities. Responsibilities encompass collaborating with multifaceted teams to design and optimize a data science platform, engaging in hands-on research, and effectively communicating findings to non-technical stakeholders. Candidates will likely face challenges related to integrating diverse data sources, navigating complex analytical problems, and adjusting strategies based on evolving projects. Success in this role might look like developing innovative predictive models, enhancing data-user interactions, and contributing valuable intelligence that aligns with overarching national security objectives. Ultimately, candidates are expected to demonstrate not only technical proficiency but also creative thinking and the ability to collaborate across various disciplines.

Company Analysis:

Community Options, Inc. is a significant player in the nonprofit sector, focused on enhancing the lives of individuals with developmental disabilities through innovative housing and employment solutions. Given its mission-driven orientation, Community Options likely values collaboration, inclusivity, and creative problem-solving in its organizational culture. This role sits at the intersection of technology and social impact, suggesting a dynamic work environment where agility and responsiveness to community needs are emphasized. The Data Scientist will likely work closely with cross-functional teams, which influences not only their visibility within the organization but also their ability to impact strategic initiatives. The organization's commitment to community engagement suggests that candidates will need to align their technical work with broader social objectives. As such, the strategic alignment of this Data Scientist role may be to enhance operational efficiency and create data-driven strategies that advance the company's mission to empower individuals with disabilities. This focus on social impact can provide the candidate with a sense of fulfillment and purpose, contributing to both personal and professional growth.

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

• Tell me about a time when you had to analyze a complex data set to extract actionable insights. What was your approach, and what were the results?
• Can you describe a situation where you faced ambiguity in a data project? How did you manage to meet expectations despite the uncertainty?
• Share an experience where you needed to communicate technical findings to a non-technical audience. How did you tailor your presentation?
• What’s your process for ensuring that the models you develop remain relevant over time, especially in rapidly changing environments?
• How would you approach improving a predictive algorithm based on user feedback?
• Can you describe your experience with big data technologies, particularly with regards to deploying applications in cloud platforms like AWS?
• Explain your familiarity with SQL and how you've utilized it in previous data science projects.
• How do you envision the role of data analysis in enhancing national security measures?
• Imagine you receive conflicting feedback from team members about a data project you're leading. How would you approach resolving it?
• Why are you interested in working specifically with Community Options, Inc. and what do you find compelling about their mission?
• How do your personal values align with the vision and mission of Community Options?
• What questions do you have about how the Data Scientist role contributes to broader organizational goals?
• Can you tell us about a project where you had to collaborate with engineers and analysts? What challenges did you face, and how did you overcome them?
• Describe a time when you had to learn a new technology or tool quickly to meet project demands. How did you manage the learning curve?