Data Scientist II, Worldwide Design Engineering - Data Science

Amazon; Bellevue, Northern (WA, KY); On-site; USD 115,000 - 160,000; Full time

Job summary

Amazon seeks a Data Scientist II for Worldwide Design Engineering - Data Science. The role focuses on analyzing fulfillment network trends, driving AI/ML research strategy, and delivering data-driven design insights for a scalable warehouse network.

The candidate will collaborate across teams, own metrics, and guide solution design and implementation in a fast-paced environment. Strong communication and visualization skills are essential.

Qualifications

• Analyzing, modeling and interpreting data for warehouse performance.
• Predictive analysis using machine learning at scale.
• Collaboration with scientists and engineers to productionize AI research.

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, R, Python.
• Innovate and simplify data solutions to standardize and enable automation.
• Support Worldwide Engineering teams by providing analysis and insights.

Skills

SQL

Python

R

Tableau

Excel

Pivot tables

VBA

ML & analytics

Tools

Amazon Redshift

Job description

Data Scientist II, Worldwide Design Engineering - Data Science

ID lavoro: 10521209 | Amazon.com 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