Amazon.com Services LLC
Machine Learning Science, Science, operations
DataScientist,SCOTForecastingandLabs-CIVTeam
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist, SCOT Forecasting and Labs - CIV Team at Amazon.com Services LLC. Skills: Statistical modeling, Machine learning, Data analysis. Develop statistical techniques. Develop causal techniques”
Industry & Context.
Solve challenging problems
What They're Looking For.
Must Have
1+ years data querying languages, 1+ years scripting languages, 1+ years statistical software, 2+ years data scientist experience, 2+ years quantitative analyst experience, Bachelor's degree
Nice to Have
Knowledge of statistical packages, Knowledge of business intelligence tools, Experience with clustered data processing
What You'll Do.
Develop statistical techniques
Develop causal techniques
Develop machine learning techniques
Develop solution prototypes
Design model improvements
Create production implementations
Analyze large-scale data
Understand business metrics
Provide compelling analysis
Present research results
Lead training sessions
Lead informational sessions
How You'll Work.
Team & Collaboration
Technical customers; Non-technical customers; Software team
Communication Scope
Communicate results; Present research
Full Job Description
Are you seeking an environment where you can drive innovation? Do you want to apply inference, advanced statistical modeling and techniques to solve world's most challenging problems in? Do you want to play a crucial role in the future of Amazon's Retail business? Do you want to be a part of a journey that develops a new technology from scratch for answering critical business question in Amazon Retail? Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize acquisition, enable a number of purchase options, ensure great , store products so they are available for fast delivery, and minimize package frustration. The Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. The Consumer Instock Value (CIV) team within Amazon's Supply Chain Optimization Technology (SCOT) Group develops and manages systems that estimate the long-term impact of inventory availability and delivery speed changes at the product level. Our estimates are crucial inputs for multiple production systems across Amazon's supply chain planning, helping teams make critical decisions about inventory management, selection, and placement. Key responsibilities of a Data Scientist in CIV Team include: - Developing new statistical, causal, and machine learning techniques and develop solution prototypes to drive innovation - Working with technical and non-technical customers to design model improvements and communicate results - Collaborating with our dedicated software team to create production implementations for large-scale data analysis - Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business - Presenting research results to our internal research community - Leading training and informational sessions on our science and capabilities - Your contributions will be seen an
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