Applied Scientist - Machine Learning, Amazon Transportation

What you'll do

• Design and develop machine-learning, forecasting, and prediction models for optimization and planning systems; take models from prototype to production.
• Translate business problems into modeling approaches and drive technical design with product, engineering, and operations partners.
• Analyze and communicate model results and recommendations to scientific and business audiences.

What they ask for

• PhD, or a Master's degree and 4+ years of experience in science, technology, engineering, or a related field.
• Experience building machine-learning models or developing algorithms for business application.
• 1+ years of programming experience in Java, C++, Python, or a related language.
• Experience with standard machine-learning and statistical modeling tools and techniques.

Nice to have

• Experience in professional software development.
• Experience with forecasting, statistical analysis, or mathematics such as linear programming or nonlinear optimization.

Pay

142,800.00 - 193,200.00 USD annually (base salary)

Tools

Java, C++, Python, random forests, gradient-boosted regression, LASSO, logistic regression

AI focus

Develop machine-learning, forecasting, and prediction models and algorithms, including transit-time prediction and uncertainty models; leverage GenAI to build and test model features.