Applied Scientist - Advanced Experimentation & Long Term Decision Making at Amazon
Applied Scientist - Advanced Experimentation & Long Term Decision Making Details
Jan. 23, 2019, 6:53 a.m.
Research Science
team-personalization-and-recommendations
Seattle, Washington
Amazon's Weblab team Amazon's DNA and
Amazon's Weblab team enables experimentation at massive scale to help Amazon build better products for customers. A/B testing is in Amazon's DNA and we're at the core of how Amazon innovates on behalf of customers. We are seeking a skilled and experienced Applied Scienctist to help us build the future of experimentation systems at Amazon. About you: You have an entrepreneurial spirit and want to make a big impact on Amazon and its customers. You are excited about cutting-edge research on causal inference. You enjoy building massive scale and high performance systems but also have a bias for delivering simple solutions to complex problems. You're looking for a career where you'll be able to build, to deliver, and to impress. You're a thought leader and you demonstrate this by delivering solutions, not just by having ideas. You challenge yourself and others to come up with better solutions. You develop strong working relationships and thrive in a collaborative team environment. About us together:
• MS or PhD in Statistics, Economics, Computer Science, Machine Learning, Applied Math or related field • Computer Science fundamentals in algorithm design, problem solving, and complexity analysis. • Proficiency in at least one modern programming language such as Python or C/C++. • Demonstrated use of applied science to meet customer and business needs • Highly motivated self-starter with bias for innovative thinking • Experience with experimentation and causal inference • Experience with graph algorithms, graph-neighborhood clustering, or graph-cluster randomized experiments • Experience building