Amazon.com Services LLC
Applied Science, north america stores
AppliedScientist,PricePerceptionandEvaluationScience
Neural analysis suggests this role is
optimal for Senior candidates.
“Applied Scientist, Price Perception and Evaluation Science at Amazon.com Services LLC. Skills: Data science, Machine learning, MLOps, Price perception. Research statistical techniques. Create scalable solutions”
What You'll Achieve.
Generate fresh customer-relevant prices; Scale scientific price estimation system; Scale product understanding system; Optimize customer experience
Industry & Context.
Solve business problems; Solve technology problems
What They're Looking For.
Must Have
3+ years building models, Master's degree and 4+ years experience, Experience in patents or publications, Experience programming in Java, C++, Python
Nice to Have
Experience building ML models, Experience applying theoretical models, Bachelor's degree or above in STEM, PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, Experience in defining and creating benchmarks for assessing GenAI model performance
What You'll Do.
Research statistical techniques
Create scalable solutions
Evaluate proposed solutions
Establish automated processes
How You'll Work.
Team & Collaboration
Research scientists; Machine learning experts; Economists; Technology leaders; Product leaders
Communication Scope
Internal presentations; External presentations
Full Job Description
Amazon's Price Perception and Evaluation team is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product understanding system, regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide. The Applied Scientist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. Key job responsibilities - Research and use of statistical techniques to create scalable solutions for business problems. - Design, build, and deploy effective and innovative ML solutions to provide low prices and increased selection for customers using scientifically-based methods and decision making. - Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production. - Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation. - Publish and present your work at internal and external scientific venues. 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 publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language Preferred Qualifications: - Experience building machine learning models or developing algorithms for business application - Experience applying theoretical models in an applied environment
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