Okay, I've searched for Data Scientist roles in North Dakota, United States, requiring a Bachelor's degree in Computer Science or related fields, with at least 5 years of experience, full-time positions, and a salary of $100,000 or more per year. I have found 48 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role on the Microsoft Advertising Data Science Team is fundamentally centered on leveraging data to optimize the monetization platform that connects publishers and advertisers globally. This role transcends simple data analysis by requiring a deep understanding of complex marketplace dynamics, experimental design, and metric definition to create actionable insights that drive product and business improvements. The candidate will operate at the intersection of product management, engineering, and business strategy, necessitating strong collaboration skills and the ability to communicate technical findings to diverse stakeholders. Success in this role means not only producing statistically sound models and measurements but also iterating on product features and experiments that tangibly enhance marketplace performance. The qualifications reflect a strong emphasis on advanced quantitative skills, programming capabilities (Python/R, SQL, C#), and experience working in customer-facing or project-driven contexts to translate data into meaningful business impact. Challenges will include solving ambiguous problems with incomplete data, driving consensus across cross-functional teams, and continuously refining measurement frameworks. A strategic mindset combined with technical excellence, curiosity, and influence will define effectiveness here, especially in a dynamic environment where experimentation and data-driven iteration are core to innovation.

Company Analysis:

Microsoft stands as a global technology leader with a broad reach and a mission dedicated to empowering individuals and organizations worldwide. Their culture prioritizes growth mindset, inclusivity, authenticity, and continuous learning, creating a supportive environment where innovative thinking is both expected and nurtured. For a data scientist joining Microsoft Advertising, this means entering a fast-evolving, large-scale operation that values collaboration and diversity of thought. The company’s strategic emphasis on responsible innovation and collective success suggests that candidates should be prepared to both challenge the status quo and lift others as they advance solutions. The role fits into a vast organizational framework of passionate professionals, providing visibility to leadership and opportunities for cross-disciplinary influence. Given Microsoft’s scale and market presence, the position serves a critical strategic function by enabling data-driven decisions that influence global advertising products. Candidates should see this as a growth and impact opportunity within a mission-driven enterprise that balances technical rigor with a human-centered culture.

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

• Behavioral: Tell me about a time when you had to define or revise key business metrics. How did you approach understanding what to measure and ensuring its relevance?
• Behavioral: Describe an experience where you navigated ambiguity in a data science project. How did you structure your analysis to bring clarity?
• Behavioral: Give an example of when you partnered with engineers or product managers to implement data-driven improvements. What challenges arose and how did you overcome them?
• Behavioral: Share a situation where your data analysis influenced a major business decision. How did you persuade stakeholders to act on your insights?
• Technical: How would you design an A/B test on a large-scale advertising platform to measure the impact of a new feature on user engagement?
• Technical: Explain your process for handling and analyzing both structured and unstructured data in the context of advertising analytics.
• Technical: What methodologies do you use to ensure your machine learning models produce actionable and interpretable insights for non-technical stakeholders?
• Technical: Walk me through how you would set up an experimentation framework to continuously improve a product feature within a marketplace environment.
• Situational: Imagine a key product metric suddenly drops without a clear cause. How would you investigate and address this using data science techniques?
• Situational: Suppose you need to convince a diverse set of stakeholders with varying technical backgrounds about a counterintuitive finding from your analysis. How would you approach this?
• Situational: You are managing multiple conflicting priorities between engineering timelines and business demands for new data insights. How do you navigate this conflict?
• Company Fit: Why do you want to join Microsoft Advertising specifically, and how do you see your skills contributing to our mission?
• Company Fit: Microsoft's culture emphasizes a growth mindset and inclusivity. How have you embodied these values in your past work experiences?
• Company Fit: How do you stay current with emerging trends in data science and advertising technology, and how would you apply that knowledge here?
• Questions for Interviewer: Can you describe the typical collaboration dynamics between the data science team and product or engineering teams at Microsoft Advertising?
• Questions for Interviewer: What are the current major challenges the Microsoft Advertising Data Science team is focused on solving?
• Questions for Interviewer: How does Microsoft support the professional growth of data scientists within this organization?