Principal Data Scientist - Simulation, Amazon Robotics Are you interested in designing highly automated systems that span across Amazon's Global Fulfillment network? Do you like the idea of leveraging a variety of simulation technology and approaches to drive system design and robotic innovation? Do you like the idea of driving new technology to advance simulation experimentation and analysis? Answer yes to any of these questions and you will fit right in here in the Amazon Robotics System Operations and Simulation team. We are a team of collaborative builders that work passionately to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We focus on reducing complexity across the fulfillment network, driving new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Key job responsibilities As a Principal Data Scientist on our team you will: Create simulations of our robotic workcells and automation systems with varying fidelity from mathematical modeling to simulation with software in the loop. Decompose novel system designs and iterate on alternatives to produce simulations of robotic and system designs. Apply your system engineering and science judgement to determine the most critical behaviors to model to drive design and engineering decisions. Apply simulation expertise to drive designs to produce the best product minimizing system complexity. Communicate transparently the experiments and analysis produced from system design models. Advance simulation technology to accelerate innovation and system design. A day in the life On any given day at Amazon Robotics, you will: Collaborate with experts spanning robotics, hardware, software, industrial design, system architecture, and other domains. Inform understanding of simulation and experiment design. Adjudicate what system behaviors are most critical to model when. Use analysis results to drive system understanding and gain consensus around what is the best system design while reducing complexity. Use your skillset across simulation and design boundaries to continually surface data and evolve designs. Provide guidance and hands-on expertise to improve tools and techniques used in simulation to accelerate innovation. BASIC QUALIFICATIONS - 10+ years of non-internship professional data science and simulation experience in a system engineering domain.
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