Senior Applied Scientist — Causal ML & Attribution

Amazon Inc.; New York (NY); On-site; USD 184,000 - 249,000; Full time

Job summary

Amazon.com Services LLC is seeking an Applied Scientist III for the Sponsored Products team to advance measurement and advertising science. You will design experiments, apply causal inference, and build scalable ML solutions that influence product, engineering, and business decisions.

You will mentor teammates, define a long-term science roadmap, and translate complex findings into actionable recommendations.

Qualifications

• 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.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Develop methods to understand how traffic sources, customer journeys, and onsite experiences drive purchasing and revenue, using experimentation, causal inference, and machine learning to separate correlation from true business impact.
• Drive or heavily influence the design of scientifically complex software solutions or systems, taking ownership of components and providing system-wide design guidance for both new and evolving systems.
• Define a long-term science vision and roadmap, combining science leadership, technical depth, and business understanding.
• Translate complex findings into clear recommendations for product, engineering, and business partners, and build tools that support faster diagnosis and better investment decisions.
• Mentor junior scientists, raise the scientific bar across the team, and identify opportunities where generative AI can accelerate learning and efficiency.

Skills

Machine learning

Causal inference

Experimentation

Programming languages

Education

PhD

Master's +6 yrs experience

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

Job description

Amazon.com Services LLC is seeking an Applied Scientist III for the Sponsored Products team to advance measurement and advertising science. You will design experiments, apply causal inference, and build scalable ML solutions that influence product, engineering, and business decisions.

You will mentor teammates, define a long-term science roadmap, and translate complex findings into actionable recommendations.