> Markdown version of [/jobs/ext/4582558-applied-scientist-machine-learning-amazon-transportation](https://www.wearedevelopers.com/jobs/ext/4582558-applied-scientist-machine-learning-amazon-transportation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Scientist - Machine Learning, Amazon Transportation - **Company:** Amazon.com, Inc. - **Location:** Bellevue, WA, United States - **Contract:** Permanent contract - **Skills:** Data Analysis, Code Review, Software Design Documents, Machine Learning - **Published:** November 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/applied-scientist-machine-learning-amazon-transportation-bellevue-wa--50b26b60-f543-4f1b-90fa-e7a70cd75dce ## About the Role Machine Learning, Machine Learning, Scientific Research, Vehicle Fleets, Algorithms, Time Management, Warehousing, Truckload Freight, Predictive Modeling, Forecasting ## Description * Design and develop machine learning, forecasting, and other prediction models that enhance our optimization and planning systems. * Build models and algorithms from prototype to production-level systems. * Translate ambiguous business problems into modeling approaches, and drive the technical design with product, engineering, and operations partners. * Influence key business decisions through rigorous modeling and analysis. * Communicate results and recommendations to scientific and business audiences. A day in the life * Analyze data to investigate a business problem or model performance and identify improvements * Brainstorm new algorithmic strategies or business opportunities with fellow scientists * Leverage GenAI to build and test your new model features * Run a simulation or experiment to evaluate your model's performance * Meet with product and tech partners to review project requirements, data, design, or other project decisions * Review code changes or a design document from a fellow scientist or engineers * Write and present a paper documenting algorithm features, results, and recommendations