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Amazon Sr Applied Scientist FAR Frontier AI & Robotics United States, Washington, Seattle
DESCRIPTIONKey job responsibilities Lead technical initiatives in robotics foundation models, driving breakthrough approaches through hands on research and development in areas like open vocabulary panoptic scene understanding, scaling up multi...
BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or...
DESCRIPTIONKey job responsibilities Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish Drive independent research initiatives in robotics foundation models, focusing...
DESCRIPTIONKey job responsibilitiesBASIC QUALIFICATIONS Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience in any of...
Collaborate with Business Banking senior stakeholders to identify key business challenges and opportunities, and develop data-driven solutions to address them. Apply statistical methods and data analysis to solve business problems,...
Excel at communicating and interfacing with senior stakeholders, leveraging a blend of analytical skills and business acumen to drive impactful results that inform strategic decisions. Commit to iterative development, with...
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical orComputer Engineering, or related field AND 6+ years related experience (e.g.,statistics, predictive analytics, research). OR Master's Degree in Statistics, Econometrics, Computer Science,Electrical...
DESCRIPTIONKey job responsibilities Lead technical initiatives in robotics foundation models, driving breakthrough approaches through hands on research and development in areas like open vocabulary panoptic scene understanding, scaling up multi...
The analytical scientist role has become increasingly important to the tech industry, as data-driven insights have often become the foundation for innovation and success. An analytical scientist is responsible for collecting and analyzing data to help inform and create decisions within organizations. Working in the tech industry, a qualified analytical scientist should possess a focused understanding of data science and a passion for developing strategies to help improve the accuracy of data-driven initiatives.
At its core, an analytical scientist should be passionate about understanding complex data sets to uncover meaningful relationships and insights. A strong background in mathematics, statistics, and computer science are essential for success in the role, as analytical scientists must be adept at presenting detailed data analytics in an understandable manner.
Analytical scientists must also be creative problem-solvers and have the capacity to think critically in order to make correlations from data sets. Additionally, technical proficiency with programming languages such as Python, SQL, and Java is necessary, as well as knowledge of data visualization tools and machine learning.
Finally, excellent communication skills are important for an analytical scientist, as the job often involves working with business executives and teams. In other words, the successful analytical scientist should possess the necessary technical skills, as well as the ability to converse effectively and influence decision makers.
At Expoint, the quality of an analytical scientist is not only a priority, but is a necessity. We believe the role of an analytical scientist is of utmost importance to the success of a tech organization, and therefore, strive to bring the right analytical scientists on board. We're committed to using our platform to find the perfect fit for analytical scientists who wish to further their career in the tech industry.