I've found 25 Applied Scientist positions in New York that align with your criteria of focusing on machine learning and data analysis, requiring 3+ years of experience, documented in a full-time role, and with a preference for applicants holding a PhD or Master's degree. You can view the listings now.

Sure. Here's the analysis:

Job Analysis:

The role of Applied Scientist for Sponsored Products at Amazon Advertising is fundamentally centered on enhancing product discovery through advanced machine learning and statistical techniques. This position demands not only the ability to perform deep analysis and conduct A/B testing, but also a proactive attitude towards experimenting and innovating within the expansive landscape of online advertising. Candidates will work in a fast-paced, high-ambiguity environment where they must rapidly test hypotheses and draw actionable insights to optimize advertising strategies and improve user experiences. Success in this role is likely to hinge upon the candidate's ability to effectively communicate complex analyses to senior leadership and collaborate with engineering teams for the integration of successful models into production systems. The ideal individual will not only possess strong technical skills but also a customer-centric mindset, driving a culture of experimentation and scientific rigor, ultimately contributing to the overarching goals of Amazon’s mission to enhance discovery and conversion for shoppers and advertisers alike.

Company Analysis:

Amazon is positioned as a leader in the digital marketplace, driven by a relentless focus on innovation and customer satisfaction. The company's principles emphasize a strong commitment to operational excellence and long-term thinking, which resonates deeply with the role of an Applied Scientist in Sponsored Products. The organizational culture is highly dynamic and fast-paced, encouraging a spirit of ingenuity and risk-taking—as evident in Amazon's 'Day 1' philosophy. Within this context, the Applied Scientist will likely operate within a cross-functional team that enjoys significant visibility due to the strategic importance of their work to Amazon's advertising solutions. The emphasis on using cutting-edge technologies like machine learning and NLP suggests a highly collaborative environment where ideas are rapidly iterated. This suggests that candidates must not only be well-versed in data analysis but also culturally aligned with Amazon's core values, which could greatly enhance their potential for success and satisfaction in this role. Moreover, this position is critical for Amazon's growth trajectory, as it aims to optimize advertising products that directly contribute to increased sales and improved customer experiences.

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

• Tell me about a time when you had to analyze a large data set to make a business decision. What was your approach, and what were the results?
• Describe an experiment you designed in the past. How did you determine what variables to test, and what did you learn from the results?
• Can you give an example of how you've turned a complex analysis into insights for non-technical stakeholders?
• What strategies do you use to collaborate with engineering teams to ensure smooth integration of your models into production systems?
• How do you prioritize which machine learning models to develop when faced with multiple potential projects?
• Describe your experience with A/B testing. What metrics do you consider most critical during such tests?
• How do you keep current on advancements in machine learning techniques, and how have you applied new knowledge to your prior work?
• Imagine you are tasked with improving the recommendation system on Amazon. What initial steps would you take to assess what changes might be needed?
• You notice a discrepancy between expected and actual results following an A/B test. What steps would you take to investigate the issue?
• Why are you interested in working at Amazon, particularly in the Sponsored Products team?
• Given Amazon's culture of innovation, what is an example of a risk you took in your career that did not turn out as expected, and what did you learn from it?
• What excites you most about the possibility of working on cutting-edge technologies like Generative AI in an advertising context?
• What are the key challenges you foresee for the Sponsored Products role in the next few years, and how would you prepare to tackle them?