Amazon.com Services LLC
Machine Learning Science, Science, operations
DataScientist,SCOTForecastingandLabs-CIVTeam
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“Data Scientist, SCOT Forecasting and Labs - CIV Team at Amazon.com Services LLC. Skills: Data science, Machine learning, Statistical modeling. Develop new statistical techniques. Develop causal techniques”
What You'll Achieve.
Contribute to Amazon research corpus; Contribute to patent portfolio
Industry & Context.
Solve challenging problems
What They're Looking For.
Must Have
3+ years data querying languages, 3+ years scripting languages, 3+ years statistical/mathematical software, 3+ years data scientist experience, 3+ years machine learning/statistical modeling, Bachelor's degree
Nice to Have
Experience in Python, Experience in Perl, Experience in another scripting language, Experience in a ML role, Experience in a data scientist role, Experience with large technology company
What You'll Do.
Develop new statistical techniques
Develop causal techniques
Develop machine learning techniques
Develop solution prototypes
Design model improvements
Collaborate with software team
Create production implementations
Develop understanding of business metrics
Develop understanding of KPIs
Provide clear analysis
Provide compelling analysis
Present research results
Lead training sessions
Lead informational sessions
How You'll Work.
Team & Collaboration
Technical customers; Non-technical customers; Dedicated software team; Internal research community
Communication Scope
Communicate results; Present research results
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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