Senior Applied Scientist, Marketing Analytics & Causal ML

Socket.dev; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon’s Customer Behavior Analytics team in Seattle is seeking an Applied Scientist to advance Marketing Measurement solutions. You will build scalable ML and causal inference models to estimate marketing effectiveness and provide actionable insights to marketing teams.

You will work with product managers and software engineers, translate data about customer journeys, handle large datasets, and publish research to the broader Amazon science community.

Qualifications

• 4+ years of applied research experience.
• 3+ years of building machine learning models for business application.
• PhD, or Master's degree and 6+ years of applied research experience.

Responsibilities

• Apply expertise in Transformer models, LLMs, ML/DL and statistical modeling to develop solutions and systems that describe how Amazon’s marketing campaigns impact customers’ actions
• Own the end-to-end development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions
• Improve upon and simplify our existing solutions and frameworks
• Review and audit modeling processes and results from other scientists, both junior and senior
• Work with marketing leadership to align our measurement plan with business strategy
• Formalize assumptions about how our models are expected to behave and explain why they are reasonable
• Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making
• Develop and document scientific research to be shared with the greater science community at Amazon

Skills

Applied research

Machine learning

Communication

Education

PhD or Master + 6+ yrs exp

Tools

Java

C++

Python

Job description

Amazon’s Customer Behavior Analytics team in Seattle is seeking an Applied Scientist to advance Marketing Measurement solutions. You will build scalable ML and causal inference models to estimate marketing effectiveness and provide actionable insights to marketing teams.

You will work with product managers and software engineers, translate data about customer journeys, handle large datasets, and publish research to the broader Amazon science community.