Research Scientist-Statistical analysis/Optimization/Data Visualization Job in Seattle 98119, Washington US
Research Scientist-Statistical analysis/Optimization/Data Visualization
The Recommendations team at Amazon.com generates personalized product recommendations for millions of customers each day, in a blink of an eye, thousands of times a second. We build the data sets, algorithms, back-end systems, and front-end widgets to deliver a personalized store for every Amazon.com customer. We're looking for an innovate Research Scientist to work closely with our product and development teams. This individual would own statistical analysis for the Recommendations space, resulting in a direct impact on the bottom line of our business, influence on new features, and improvements to the customer experience
Major responsibilities:
- Use statistical techniques to create scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key features and processes.
- Work closely with software engineering teams to drive new feature creation
- Work closely with stakeholders to optimize various business operations
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Track general business activity and provide clear, compelling management reporting on a regular basis
- Research and implement novel statistical approaches
- Master's degree in Mathematics, Statistics, Operations Research, or in a field of experimental science.
- Theory and practice of Design of Experiments and statistical analysis of results.
- Experience using operations research techniques for solution optimization and continuous process improvement.
- 5+ years experience working in, or collaborating with, industry.
- Leadership experience in a team research effort, including planning, mentoring, and ownership of group outcomes.
- Programming skills sufficient to extract, transform, and clean large (multi-TB) data sets in a Unix/Linux environment.
- Proficiency in a statistics package such as SPSS, SAS, S-PLUS, or R.
- PhD in Mathematics, Statistics, Operations Research, or in a field of experimental science.
- Familiar with theory and practice of information retrieval, relevance, machine learning, and data mining.
- Skilled at data visualization and presentation.
- Familiar with the core undergraduate curriculum of Computer Science.
- Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.