Amazon Applied Scientist II People eXperience Technology Central Science PXTCS 

United States, Washington, Bellevue 

450606254

Key job responsibilities
As an Applied Scientist II, you will be responsible for developing and implementing machine learning solutions across our predictive modeling and forecasting work-streams. You will work on existing models and develop new ones that power leaders across Amazon to make decisions about their businesses. You will collaborate with scientists and engineers to deliver innovative solutions while working closely with business stakeholders to understand their needs.
A day in the life
You will work across different business domains (corporate, operations, safety) and analysis levels (individual, group, organizational), using various modeling approaches (linear, tree, deep neural network, and LLM-based). You will develop end-to-end ML solutions from problem formulation to deployment, while maintaining high scientific standards and technical excellence.

- 5+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- PhD, or a Master's degree and experience in CS, CE, ML or related field research
- Strong programming skills in Python and experience with ML frameworks
- Experience with machine learning algorithms and statistical analysis
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills

- PhD in computer science, machine learning, engineering, or related fields
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in predictive modeling, forecasting, and causal inference
- Experience with cloud computing platforms (AWS preferred)