Data Scientist, Operations AI & Optimization

Socket.dev; Bellevue (WA); On-site; USD 108,000 - 160,000; Full time

Job summary

Amazon is seeking a Data Scientist for its North American Operations, Seattle-based and serving Bellevue-area partners. The role involves building ML, optimization, and causal-inference models to optimize warehouse networks and inform business decisions.

You will own project scoping, data enablement, and model development, interfacing with stakeholders and educating non-technical colleagues on scientific results. Strong ownership is essential.

Qualifications

• 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab) 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 design documents.
• Building machine learning, optimization, and causal inference models that target business-specific challenges.
• Sourcing, cleaning, and analyzing large and complex data sets to provide business-critical insights at scale.
• Leveraging AI-based solutions to drive development and insights into model outcomes.

Skills

SQL

Python

R / SAS / Matlab

Education

Master's degree in STEM

Ph.D. in STEM (preferred)

Tools

R

SAS

Matlab

Job description

Amazon is seeking a Data Scientist for its North American Operations, Seattle-based and serving Bellevue-area partners. The role involves building ML, optimization, and causal-inference models to optimize warehouse networks and inform business decisions.

You will own project scoping, data enablement, and model development, interfacing with stakeholders and educating non-technical colleagues on scientific results. Strong ownership is essential.