What are the responsibilities and job description for the Amazon Robotics - Data Scientist (New Grad), Amazon Robotics, Software Research and Science position at Amazon?
DESCRIPTION
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent 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.
Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.
Key job responsibilities
We are seeking an enthusiastic Data Scientist to:
- Design and implement state-of-the-art solutions for never-before-solved problems.
- Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience.
- Partner with technology and product leaders to solve business problems using scientific approaches.
- Build new tools and invent business insights that surprise and delight our customers.
- Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
- Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
- Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
A day in the life
As a member of the Software Research and Data Science (SWRDS) team, there are multiple different paths you can take. For example, you may conduct deep dive analysis of both structured and unstructured robotics field analyses. Some of our team members focus on modeling, pipelines and tooling work, while others focus more on analytic work. We also have team members working on early-concept solution analysis (leveraging simulations, ML-based models, experimenting with new solutions).
About the team
The Amazon Robotics Software Research and Data Science (SWRDS) team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire Amazon Robotics system. This includes operational and software scaling characteristics, bottlenecks, and robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment.
BASIC QUALIFICATIONS
- Master's degree or higher in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3 years of professional or military experience
- 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related field
- 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
PREFERRED QUALIFICATIONS
- 1 years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 2 years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
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