Senior Applied Scientist, AWS Central Economics and Science

About the role

AWS is looking for an entrepreneurial, analytical, creative, and flexible leader to help redefine the information technology industry. The ACES Sales Channels team is hiring an Applied Scientist (Senior or below) to advance the mission of providing rigorous, causal-inference-driven recommendations for AWS sales optimization.

Responsibilities

• Causal ML System Development: Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions
• Incentive Design: Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems
• Stakeholder Collaboration: Work with business stakeholders to understand requirements, validate approaches, and ensure practical applicability of scientific solutions
• Scientific Rigor: Promote findings at internal conferences and contribute to the team's reputation for methodological excellence

Qualifications

• 3+ years of building machine learning models for business applications
• PhD, or Master's degree
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Schedule

Hybrid Work