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Data Scientist II, Design Engineering - Data Science

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon
Full Time position
Listed on 2026-08-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 115000 - 160000 USD Yearly USD 115000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist II, Worldwide Design Engineering - Data Science

Data Scientist II, Worldwide Design Engineering - Data Science

o:  |  Services LLC

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.

At Amazon Worldwide Fulfillment Design and Engineering, we are designing the future and if you are in quest of an iterative fast-paced environment, where you can drive innovation through data visualization products, advance analytics and machine learning at scale, this is your opportunity.

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
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