Applied Scientist • Mid-Level

Who you are

You have a strong background in applied science, particularly in machine learning and advanced analytics. With experience in data analysis, you can translate complex datasets into meaningful insights that drive strategic decision-making. You thrive in collaborative environments, working alongside software engineers, data engineers, and product managers to innovate and improve workforce planning processes.

Your expertise in metrics and reporting allows you to effectively communicate findings to stakeholders, ensuring that the insights you provide are actionable and aligned with business goals. You are passionate about utilizing data to enhance organizational effectiveness and workforce composition, and you understand the importance of leveraging unique skills and experiences within a team.

You possess a high degree of product ownership, demonstrating initiative and creativity in problem-solving. You are eager to contribute to a culture of innovation at Amazon, where your ideas can help shape the future of workforce intelligence. You are also comfortable with the operational and technical aspects of the projects you undertake, ensuring that solutions are not only effective but also sustainable.

Desirable

Experience with large-scale data systems and familiarity with cloud-based solutions would be advantageous. A background in optimization techniques and familiarity with LLM (Large Language Models) would further enhance your ability to contribute to the team.

What you'll do

As an Applied Scientist II, you will play a crucial role in the Workforce Intelligence team, focusing on advanced optimization and machine learning solutions. You will be responsible for end-to-end ownership of the insights you build, from data collection and analysis to the implementation of solutions that support Amazon's workforce planning ecosystem.

You will collaborate closely with cross-functional teams, including software engineers and product managers, to develop innovative solutions that address workforce planning challenges. Your work will involve leveraging advanced analytics to create models that predict workforce needs and optimize organizational structure.

You will also be tasked with analyzing workforce data to identify trends and insights that can inform strategic decisions. By utilizing your skills in machine learning and data analysis, you will help ensure that Amazon has the right workforce composition to meet its long-term business needs.

In this role, you will have the opportunity to contribute to the development of a closed-loop mechanism that enhances workforce planning accuracy and efficiency. Your insights will be integral to shaping the future of Amazon's workforce strategy, ensuring that the organization can adapt to changing business demands while maintaining a sustainable cost structure.

What we offer

Amazon provides a comprehensive compensation package that includes competitive salary, equity options, and a full range of benefits. You will be part of a dynamic team that values innovation and collaboration, with opportunities for professional growth and development.

We encourage you to apply even if your experience doesn't match every requirement. At Amazon, we believe that diverse teams build better products, and we are committed to fostering an inclusive environment where all employees can thrive.