Senior Pricing ML Scientist: Causal & DL

Amazon Science; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon Science in Seattle seeks a Sr. Applied Scientist to advance pricing optimization using deep learning, transformers, and causal ML.

You will develop price prediction models and collaborate with product, engineering, and business teams to deploy ML solutions at scale. The role emphasizes experimentation, rigorous statistics, and scalable architectures, with opportunities to impact pricing decisions across marketplaces and customer segments.

Qualifications

• 4+ years of applied research experience.
• 3+ years of building machine learning models for business applications.
• PhD or Master's with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Develop price prediction models using deep learning frameworks, transformer architectures, and statistical methods.
• Collaborate with product, engineering, and science teams to deploy ML price estimation and error correction at scale.
• Stay up to date with advances in deep learning, transformers, probabilistic forecasting, and multi-objective optimization.

Skills

Applied research

Machine learning

Deep learning

Programming

Education

PhD

Master's + 6+ years experience

Tools

TensorFlow

PyTorch

Spark

Hadoop

Job description

Amazon Science in Seattle seeks a Sr. Applied Scientist to advance pricing optimization using deep learning, transformers, and causal ML.

You will develop price prediction models and collaborate with product, engineering, and business teams to deploy ML solutions at scale. The role emphasizes experimentation, rigorous statistics, and scalable architectures, with opportunities to impact pricing decisions across marketplaces and customer segments.