Okay, I've found Data Scientist roles in Los Angeles that require a Master's degree in Statistics or Data Science, focus on optimization in advertising systems, have at least 3 years of experience, and offer a salary of at least $141,000. There are 45 positions available that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The role of Data Scientist for Research, Measurement and Optimization at YouTube Ads is fundamentally about leveraging statistical and analytical expertise to enhance the effectiveness of advertising on one of the most popular digital platforms globally. This position demands a blend of technical skills and strategic thinking, with a strong emphasis on understanding user behavior, analyzing data from various sources, and creating mathematical models to improve bidding optimization and ad performance. A successful candidate will not only need to solve complex problems through coding and statistical analysis using tools such as Python, R, and SQL, but also collaborate effectively with diverse teams to refine business questions into concrete metrics and solutions. Addressing challenges rooted in constrained optimization theory and staying updated with ad systems will be critical. The ability to navigate ambiguity and make autonomous, data-driven decisions will also be key to thriving in this role, especially in light of the fast-paced nature of the advertising tech environment. Success in this position would likely be measured by the candidate's ability to drive measurable improvements in advertising effectiveness within the first year, aligning with the team’s mission of ensuring advertiser success on YouTube.

Company Analysis:

Google's ethos of 'solving problems for everyone' resonates deeply in its work culture, which undoubtedly encourages innovation, inclusivity, and a user-centric approach. The company stands as a leader in the tech industry, particularly in digital advertising, which provides its employees a unique opportunity to be part of transformative projects impacting millions globally. The collaborative and multi-disciplinary environment suggests that the ideal candidate must not only possess technical prowess but also the interpersonal skills to work across diverse teams and perspectives. As this role involves significant cross-project collaboration, a data scientist here is expected to have high visibility with leadership and other stakeholders, affecting strategic decision-making processes. Given Google's focus on growth and optimizing its advertising products, this role aligns with broader business objectives, aiming to enhance technological sophistication in ad services and maximize advertiser success. Candidates must embrace a dynamic, results-driven culture while being adaptable to rapid changes within the advertising landscape.

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

• Tell me about a time when you had to solve a complex data problem. What approach did you take, and what was the outcome?
• Describe a situation where you had to work with a cross-functional team to achieve a goal. What was your role, and how did you contribute to the team's success?
• Can you give an example of how you've utilized statistical modeling in your previous work? What challenges did you encounter, and how did you overcome them?
• How would you approach developing a mathematical model to optimize ad bidding strategies? What factors would you consider?
• Discuss your experience with SQL and Python. Can you describe a project where you used these tools to extract and analyze data?
• What methods do you use to ensure the quality and accuracy of your data before analysis?
• Imagine you are faced with unexpectedly ambiguous data regarding ad performance. How would you approach this situation to derive meaningful insights?
• Suppose there's a conflict between marketing and engineering teams about the interpretation of ad data. How would you facilitate a resolution?
• Why are you interested in working at Google, particularly in the context of YouTube Ads?
• How do your values align with Google's mission of creating opportunities for everyone?
• What excites you most about the potential of using data science in the advertising industry today?
• Can you discuss a project you led that significantly impacted a company's strategy or objectives?
• What questions do you have for us about the team you will be working with?
• How do you envision the role of a data scientist changing in the next few years, especially in advertising?