Data Scientist: AI-Driven Ops & Optimization

Amazon; Factoria (WA); On-site; USD 108,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Data Scientist to drive the development of models that optimize warehouse operations. You will deeply integrate with business stakeholders and leverage generative AI to build for customers.

You will own project scoping, data enablement, and model development within Amazon Operations, delivering insights to finance and partner teams with a strong sense of ownership.

Qualifications

• 1+ years of data querying languages (e.g. SQL) or scripting languages (e.g. Python) experience.
• 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience.
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in STEM.

Responsibilities

• Interfacing with stakeholders to understand business problems and translating these into high and low-level design documents.
• Building machine learning, optimization, and causal inference models that target business-specific challenges.
• Sourcing, cleaning, and analyzing large and complex data sets associated with warehouse operations to provide business-critical insights at scale.
• Leveraging AI-based solutions to drive development and provide nuanced insights into model outcomes.

Skills

SQL

Python

R/SAS/ Matlab

Education

Master's degree in STEM

Job description

Amazon is seeking a Data Scientist to drive the development of models that optimize warehouse operations. You will deeply integrate with business stakeholders and leverage generative AI to build for customers.

You will own project scoping, data enablement, and model development within Amazon Operations, delivering insights to finance and partner teams with a strong sense of ownership.