Amazon's Workforce Solutions Analytics and Tech team is expanding, and we are in search of a Senior Applied Scientist to tackle some of the most challenging optimization problems in labor scheduling and operational efficiency. This role is critical in leading efforts to enhance and innovate within these domains.
As a Senior Applied Scientist, you will be at the forefront of addressing large-scale business challenges through deep knowledge of Operations Research and Machine Learning. Your expertise will drive the development of models that transform into production-ready code using Python or Java, influencing the efficiency of over a million Amazon associates.
You will spearhead the creation and implementation of solutions that optimize flexible labor capacity. This involves:
The ideal candidate will possess:
This opportunity is available at multiple Amazon office locations including Arlington, VA, Austin, TX, Bellevue, WA, Nashville, TN, Seattle, WA, and Tempe, AZ. Compensation varies by location, with a base salary ranging from $136,000 to $260,000 per year, alongside a competitive total compensation package including equity, bonuses, and comprehensive benefits.
Amazon is an equal opportunity employer. We believe in diversity and inclusion, fostering an environment where all individuals can thrive. Visit for accessibility support and accommodation requests.
Are you ready to lead and innovate in a dynamic, fast-paced environment at one of the world’s most influential companies? Apply now to become part of Amazon as a Senior Applied Scientist in Workforce Solutions and drive transformative change. This position will remain open until filled.
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