Amazon.com Services LLC
Data Science, Science, operations
DataScience-Forecasting&Lab
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Science - Forecasting & Lab at Amazon.com Services LLC. Skills: Data science, Machine learning, Statistical modeling. Analyze data. Improve machine learning methodologies”
Industry & Context.
Analytical problem solver
What They're Looking For.
Must Have
3+ years data querying languages, 2+ 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 ML role, Experience in data scientist role, Experience with large technology company
What You'll Do.
Improve machine learning methodologies
Develop new data sources
Test model enhancements
Run computational experiments
Fine-tune model parameters
Formalize model assumptions
Create outlier definitions
Develop outlier identification methods
Explain outlier reasonableness
Identify outlier fixes
Communicate with business customers
Share recommendations
Utilize code for analysis
Build statistical models
Build machine learning models
How You'll Work.
Team & Collaboration
Work with scientists; Collaborate with researchers; Interface between scientists; Interface between engineers; Interface between business stakeholders
Communication Scope
Verbal communication; Written communication; Communicating insights; Communicating recommendations
Full Job Description
The Supply Chain Optimization Technologies (SCOT) team builds technology to automate and optimize Amazon’s supply chain of physical goods. We seek a Data Scientist with strong analytical and communication skills to join our team. SCOT manages Amazon's inventory under uncertainty of demand, pricing, promotions, supply, vendor lead times, and product life cycle. We optimize complex trade-offs between customer experience, inventory costs, fulfillment costs, fulfillment center capacity, etc. We develop sophisticated algorithms that involve learning from large amounts of data such as prices, promotions, similar products, and other data from our product catalog in order to automatically act on millions of dollars’ worth of inventory weekly and establish plans for tens of thousands of employees. As a Data Scientist, you will contribute to the research community, by working with other scientists across Amazon and our Supply Chain, as well as collaborating with academic researchers and publishing papers both internally and externally. Key job responsibilities Major responsibilities include: - Analysis of large amounts of data from different parts of the supply chain and their associated business functions - Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models - Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them - Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations - Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithms A day in the life A
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