×
Register Here to Apply for Jobs or Post Jobs. X

Applied Scientist, Causal Inference Global Supply Chain

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 143000 - 193000 USD Yearly USD 143000.00 193000.00 YEAR
Job Description & How to Apply Below
Position: Applied Scientist, Causal Inference for Global Supply Chain

Amazon’s SCOT Labs is building an experimentation platform that powers randomized trials across supply chain optimization. You will design large-scale experiments, develop infrastructure in Python, SQL, Scala, and drive causal inference research to influence policy decisions affecting billions of dollars in inventory decisions.

The role blends method development with production deployment, delivering estimators and designs that scale across millions of products and hundreds of nodes.

Are you ready to take on the Applied Scientist, Causal Inference for Global Supply Chain role at Amazon?

As a Applied Scientist, Causal Inference for Global Supply Chain, you will play an important part at Amazon in Bellevue, WA, United States.

We invite applications for the Applied Scientist, Causal Inference for Global Supply Chain position located in Bellevue, WA, United States.

The following role is for a Applied Scientist, Causal Inference for Global Supply Chain with Amazon.

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary