Okay, I've searched for Data Scientist roles in Detroit that require a Bachelor's degree in a quantitative field, have at least 10 years of experience, focus on AI/ML, and need Java or Python coding skills. I found 57 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Millennium Software is fundamentally centered on transforming complex data into actionable insights through advanced analytical techniques and collaboration. The primary responsibilities involve leveraging machine learning and artificial intelligence to drive data-centric decisions, which means the candidate must adeptly handle high-dimensional datasets and extract meaningful patterns. Given Millennium's commitment to ethics over profits, the successful candidate will need not only technical proficiency but also a strong moral compass to ensure responsible use of data. The job requires a blend of technical skills, including coding in Java or Python and familiarity with cloud services like GCP and BigQuery, which empower the candidate to innovate and optimize data processes. Moreover, the expectation for 10+ years of experience and a solid understanding of LLMs indicates that the position requires a strategic thinker capable of navigating ambiguity and leading projects that may define the company’s future offerings. Success in this role will likely involve collaboration with cross-functional teams, necessitating soft skills to communicate insightful findings effectively and address any arising conflicts. Within the first 6–12 months, a successful candidate would demonstrate a profound impact on decision-making processes based on their analysis, contributing directly to Millennium's growth and ethical data practices.

Company Analysis:

Millennium Software occupies a notable position as a stable, ethics-driven player in the staffing and IT services market, particularly among Fortune 500 companies. The company emphasizes its woman-owned status and commitment to ethical practices, which may suggest a culture that values integrity, collaboration, and community impact over aggressive profit-driven measures. This environment is likely to attract candidates who prioritize social responsibility alongside technical success. The Data Scientist will operate in a context that offers both individual and cross-functional dynamics—while they may work independently on complex analytics, their insights will influence broader organizational strategies, particularly given the essence of the company’s operations across various sectors, from healthcare to education. The convergence of data across these sectors suggests that Millennium is poised for innovation, and the new hire will be a key player in driving this forward. This role isn't just about filling an existing need; it’s about strategically aligning data science capabilities with the company's broader goals, indicating a growth focus where the Data Scientist will have the chance to make a substantial impact on the business direction and data practices.

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

• Tell me about a time when you had to handle a complex data set. What challenges did you face, and what was the outcome?
• Can you describe a successful project where you leveraged machine learning techniques to solve a business problem?
• How do you prioritize competing data requests from various teams?
• Explain a situation where you had to collaborate with a team on an analytical project. How did you ensure effective communication and cooperation?
• How comfortable are you coding in Python or Java, and can you describe a project where you used these skills?
• What experience do you have with cloud technologies, specifically GCP and BigQuery, and how do they enhance your data analysis processes?
• Describe your familiarity with Large Language Models (LLMs) and give an example of how you have applied them in a data science project.
• Imagine you are tasked with predicting a trend from historical data that is incomplete or noisy. What methodology would you use to handle this scenario?
• How would you approach a situation where the data contradicts the initial hypothesis or expected trends?
• Why are you interested in working at Millennium Software specifically, and how do you feel your values align with our company culture?
• What are your expectations for professional growth and development in this role at Millennium?
• What excites you about the potential impact of data science on Millennium's operations and its clients?
• Can you ask about our current data projects and how the Data Scientist role fits into those?
• How does Millennium's focus on ethics in business impact your approach to data analysis?
• What questions do you have about our expectations for the Data Scientist role in the context of our organizational goals?