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# Data Scientist II, Worldwide Design Engineering - Data Science

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $136,000.0 - $184,000.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Program Optimization, Data Mining, Data Systems, Query Languages, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Mathematical Software, Pivot Tables, SAS (Software), SQL Databases, Tableau (Software), Scripting, Information Technology, Vba Programming Language, Data Pipelines, Amazon Redshift
- **Published:** August 30, 2026
- **Apply:** https://www.careerjet.com/job/uscfaf6c0e2557d2d30a7ba4a515c4b632/eaa

## About the Role

Are you a data enthusiast? Are you a creative big thinker who is passionate about using data and optimization tools to direct decision making and solve complex and large-scale challenges? If so, then this position is for you! We are looking for a motivated individual with strong analytic and communication skills to join the effort in evolving the fulfillment center network of tomorrow., 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience

 - 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 - Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
 - Experience developing, deploying and managing AI products at scale
Preferred Qualifications

 - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
 - Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
 - Knowledge of diverse MHS, industrial mechanical and electrical systems and automation, controls and robotics systems

## Description

In this role, your main focus will be to analyze fulfillment network trends, identify business opportunities, provide project direction, and communicate design and technical requirements within the team and across stakeholder groups. You will own the science vision, lead AI/ML research strategy and roadmap for the org, drive metrics, assist science groups in initial solution design and audit new flow implementations. A successful candidate in this position will have a background in communicating across significant differences, prioritizing competing requests, and quantifying decisions made.
Key job responsibilities

 - Analyze, model and interpret data for Amazon warehouse operational performance.
 - Predictive analysis using Machine Learning models at scale.
 - Partner with other scientists and engineers to translate frontier AI research into production-grade tools for process design developments.
 - Data analysis, modeling, network flow prediction using Excel, Pivot tables, VBA, Tableau, SQL (Amazon Redshift), R, Python.
 - Innovate and simplify data solutions to standardize and enable automation.
 - Support Worldwide Engineering teams by providing necessary data for of process flows and selection of various MHE's.
 - Support process improvement initiatives among site operations, engineering, and corporate systems groups by managing data pipelines.
 - Develop data and optimization-based solutions to the best-in-class process flow to improve the throughput of the fulfillment facilities.


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