Okay, I've searched for Data Scientist roles in Missouri, United States, that are full-time, require 3 years or more of experience, skills in Python and SQL, and a Bachelor's degree in Computer Science or a related field. I have found 47 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

This Data Scientist role within Microsoft Advertising focuses on leveraging data science to optimize the monetization platform serving publishers and advertisers globally. Fundamentally, the person hired is expected to develop, refine, and apply rigorous statistical and machine learning models to measure success, design and analyze experiments, and deliver data-driven insights that influence product improvements. The job’s core challenges involve working in a dynamic, multi-disciplinary environment that blends engineering, product management, and business strategy. The role demands not only technical expertise—such as advanced statistical analysis, experimental design, proficiency in Python, R, SQL, and handling both structured and unstructured data—but also strong communication skills to translate complex analytical outcomes into actionable business decisions. Candidates must be comfortable with ambiguity and experimental iteration, reflective of a marketplace that evolves rapidly and requires continual course correction. Success in this position looks like enabling leadership and cross-functional teams to make confident, data-informed decisions that improve advertising performance and user experience, while creating innovative measurement frameworks that stand the test of scale and complexity. Given the seniority levels outlined, autonomy in judgment and the ability to influence multiple stakeholders across Consumer online business lines will be essential.

Company Analysis:

Microsoft is a global technology leader that thrives on a mission to empower every individual and organization, emphasizing innovation as a force for good. Its culture values curiosity, inclusivity, and a growth mindset, creating an environment where continuous learning and authentic collaboration are paramount. With its presence in over 190 countries and a large, diverse workforce, Microsoft offers stability alongside a forward-looking approach to technology and societal impact. For a Data Scientist in Microsoft Advertising, this means working in a high-impact area that directly ties into revenue generation and customer experience, within a company that cultivates openness and respect. The candidate can expect a work culture that encourages risk-taking balanced with accountability, supports cross-team engagement, and rewards those who actively challenge the status quo with data-backed ideas. Strategically, this role is pivotal to Microsoft’s goal of scaling and personalizing advertising solutions globally, reflecting a blend of technical innovation and business influence. The role likely reports to senior data science leadership and interacts broadly with engineering, product, and business teams, offering visibility and opportunity to shape decisions at multiple organizational levels.

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

• Behavioral: Tell me about a time when you had to handle ambiguous data or a complex problem and how you approached developing a solution.
• Behavioral: Describe an experience where you influenced business decisions by communicating technical findings to a non-technical audience.
• Behavioral: Can you share an example of a cross-functional project you worked on? How did you manage collaboration and conflicting priorities?
• Behavioral: Explain how you have challenged the status quo within a data science team or project.
• Technical: How would you design an A/B test to evaluate a new advertising feature on the Microsoft Advertising platform?
• Technical: Walk me through your process for building and validating a machine learning model using both structured and unstructured data.
• Technical: Which statistical metrics and techniques do you rely on to define and measure success in an online marketplace environment?
• Technical: How do you handle experimental design complexities in scenarios involving multiple user and demand dimensions?
• Situational: Imagine you find conflicting results between your data model’s predictions and the product team’s observations. How would you resolve this?
• Situational: You’re asked to develop a new metric to track advertiser engagement, but there is no existing data capturing this directly. What steps do you take?
• Situational: Suppose a senior stakeholder disagrees with your data-driven recommendation. How do you manage such a situation to maintain influence and credibility?
• Company Fit/Motivation: Why are you interested in joining Microsoft Advertising specifically, and how do you see your skills contributing to our mission?
• Company Fit/Motivation: How do Microsoft’s cultural values of growth mindset and inclusivity resonate with your personal work philosophy?
• Company Fit/Motivation: Given Microsoft’s scale and diversity, how would you approach collaborating effectively with global and cross-functional teams?
• Questions for Interviewer: Can you describe how the data science team collaborates with product and engineering teams during new feature launches?
• Questions for Interviewer: What are the biggest challenges Microsoft Advertising is facing right now that this role will directly impact?
• Questions for Interviewer: How does Microsoft support continuous learning and career growth for data scientists within the Advertising organization?