Okay, I've searched for Applied Scientist roles in Bellevue, WA within supply chain management, focusing on machine learning and operations research, requiring a PhD or a Master's with 6+ years of experience. I have found 17 positions for you.

Sure. Here's the analysis:

Job Analysis:

The role of Sr. Applied Scientist in Inbound Placement at Amazon is fundamentally about optimizing supply chain systems to enhance inventory placement decisions, directly impacting customer satisfaction and the company's financial health. The key responsibilities include developing advanced models using machine learning and operations research to solve complex supply chain challenges at scale, which means candidates will need to navigate ambiguities and devise innovative solutions in a dynamically evolving environment. This position demands a combination of deep technical expertise in statistics and machine learning, along with strong collaborative skills, as the successful candidate will work closely with cross-functional teams including software engineers and product managers. Success in this role will likely be measured by the efficacy and scalability of the models developed, as well as their contribution to operational efficiency and customer fulfillment within the first year. Candidates must not only be adept at technical problem-solving but also possess the foresight to anticipate challenges and evolve strategies accordingly, positioning themselves as key contributors to Amazon's objective of being the most customer-centric company in the world.

Company Analysis:

Amazon is a leader in e-commerce and cloud computing, distinguished by its customer-obsessed ethos and continuous innovation. The company's culture values quick decision-making, a willingness to experiment, and an entrepreneurial spirit, all of which cultivate an environment ripe for growth and creativity. This means that the Sr. Applied Scientist role will operate within a fast-paced atmosphere where adapting to changes and iterative problem-solving are crucial. The position is likely to have significant visibility, as its outcomes will directly influence operational strategies and customer delivery mechanisms. The emphasis on long-term thinking aligns with Amazon's broader strategic goals of maximizing free cash flow and reinforcing its competitive advantage. Additionally, being part of the Supply Chain Optimization Technology group situates this role at the core of Amazon’s operational blueprint, further enhancing its significance in the organizational hierarchy and its impact on the company's mission to delight customers.

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

• Tell me about a time when you had to develop a complex model to solve a difficult problem. What was the context, and what was the outcome?
• Can you describe a project where you used machine learning techniques to improve a system's performance? What challenges did you face, and how did you overcome them?
• Give me an example of how you've worked with cross-functional teams. How did you ensure alignment and effective communication?
• Describe a situation where you had to make a decision with incomplete information. What approach did you take, and what was the result?
• How would you approach developing a model for inventory placement in a supply chain? What factors would you consider vital to its success?
• What methodologies do you find most effective when creating machine learning models for supply chain applications, and why?
• How familiar are you with using tools like TensorFlow or Spark MLLib? Can you describe how you've used them in past projects?
• Imagine you are faced with a sudden change in customer demand that impacts inventory levels significantly. How would you adjust your models to respond to this change?
• Why are you interested in working specifically for Amazon in this capacity, and how do you align with our mission to be customer-centric?
• How do you keep yourself updated with new trends and technologies in machine learning and operations research?
• What do you think is the biggest challenge facing supply chain optimization today, and how do you foresee contributing to overcoming that challenge in this role?
• In your opinion, how does Amazon's commitment to operational excellence influence the work of an Applied Scientist in Inbound Placement?
• If you had the opportunity to improve one aspect of Amazon’s supply chain, what would it be and why?
• What unique skills or experiences do you bring to this role that would help you thrive in Amazon's fast-paced environment?
• As a candidate, what aspects of our company culture resonate with you, and how would you integrate yourself into our team?