Amazon Principal Applied Scientist Seller Growth Insights 

United States, Washington, Seattle 

623973998

Key job responsibilitiesYou set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms.
Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility.
You tackle intrinsically hard problems, acquiring expertise as needed.
You decompose complex problems into straightforward solutions.

· Ph.D. in Computer Science, Mathematics, Statistics, related field, or equivalent experience.
· 10+ years of experience in applied science and software development at large scale.
· Experience building complex software systems that have been successfully delivered to customers.
· Extensive experience building predictive and optimization models.
· Expert knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, informational retrieval.
· Proven track record of leading and mentoring applied scientists.
· Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
· Proficiency in, at least, one modern programming language such as C, C++, Java, or Python.
· Ability to take a complex problem from scoping requirements through actual launch of the project.
· Excellent written and oral communication skills.

· Experience in website optimization, recommender systems.
· Experience with distributed machine learning systems with billions of data points.
· 10+ years of hands-on experience in predictive modeling and analysis.
· Significant peer reviewed scientific contributions in premier journals and conferences.
· Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
·Significant peer reviewed scientific contributions in premier journals and conferences.
·Proven track record leading, mentoring, and growing teams of scientists