DESCRIPTION
The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Applied Scientist, with expertise and experience in machine learning, to join our top-notch cross-domain FBA science team. We want to learn seller...
One thing we have at Valve is data. Lots and lots of data. We also have economists, and we’re always looking to add to our team. Economists at Valve use their outstanding empirical research skills to turn that data into insights that guide product ...
DESCRIPTION
We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary,...
Position Summary...
What you'll do...
In this role, you will be building an LLM-powered intelligent experience, inside chatbot or business application, to improve employee experience and productivity. You'll be responsible for designing and bu...
DESCRIPTION
Our Global Customer Fulfillment (GCF) finance teams predict the global product mix for our online store, source the products, and predict what consumers will want in each geography.
We are seeking an experienced Finance Manager to ...
DESCRIPTION
Amazon.com Services, Inc. is looking for a motivated individual with strong analytical skills and practical experience to join our Modeling and Optimization team. We are hiring specialists into our scientific team with expertise in ne...
DESCRIPTION
We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Knowledge of econometrics, and basic familiarity with Python or R, is necessary. Exper...
DESCRIPTION
We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary,...
DESCRIPTION
Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to chang...
