Data Scientist II: AI & Optimization for Fulfillment

Socket.dev; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) Plan

Paid Time Off

Parental Leave Options

Job summary

Amazon Worldwide Fulfillment Design and Engineering seeks a data-driven professional to lead analytics across the fulfillment network. You will own the science vision, drive AI/ML research strategy, and guide data-informed design decisions to optimize throughput and efficiency.

The role requires strong communication across stakeholders, the ability to prioritize competing requests, and experience delivering production-grade data tools and insights at scale.

Qualifications

• 2+ years in data scientist or similar role with data extraction, analysis, statistics and communication experience.
• 2+ years in data querying languages (SQL) or scripting (Python) or statistical software (R, SAS, Matlab) experience.
• Master's degree in a quantitative field, or Bachelor's +5 years in statistics, data science, economics, finance, engineering, or computer science.
• Experience developing, deploying and managing AI products at scale.

Responsibilities

• Analyze, model and interpret data for Amazon warehouse operational performance.
• Predictive analysis using Machine Learning models at scale.
• Collaborate with scientists and engineers to translate AI research into production tools.
• 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 with data for process flows and MHE selection.
• Lead data pipelines and drive process improvement initiatives.
• Develop data and optimization solutions to improve throughput of fulfillment facilities.

Skills

Data analysis

Data storytelling

SQL proficiency

Python

Machine learning

Education

Master's degree in a quantitative field

Bachelor's degree + 5+ years in a quantitative field

Tools

SQL

Python

R

SAS

Matlab

Tableau

Excel

Pivot tables

VBA

Job description

Amazon Worldwide Fulfillment Design and Engineering seeks a data-driven professional to lead analytics across the fulfillment network. You will own the science vision, drive AI/ML research strategy, and guide data-informed design decisions to optimize throughput and efficiency.

The role requires strong communication across stakeholders, the ability to prioritize competing requests, and experience delivering production-grade data tools and insights at scale.