Senior Applied Scientist — Marketing Measurement & Causal ML

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

Job summary

Amazon Science is seeking an Applied Scientist for the Customer Behavior Analytics org to lead scalable ML and causal inference solutions that measure the effectiveness of Amazon marketing efforts. You will translate data into actionable insights for marketing teams and influence strategic decisions that impact billions of dollars in investments.

You will work with product managers and software teams to define key business questions, apply ML/DL, statistics, and data-wrangling to drive research

Qualifications

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

• 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

ML/DL

Transformer models

Statistical modeling

Java/Python/C++

Education

PhD

Master's degree + 6+ years experience

Tools

TensorFlow

scikit-learn

Spark MLLib

MxNet

Hadoop

Job description

Amazon Science is seeking an Applied Scientist for the Customer Behavior Analytics org to lead scalable ML and causal inference solutions that measure the effectiveness of Amazon marketing efforts. You will translate data into actionable insights for marketing teams and influence strategic decisions that impact billions of dollars in investments.

You will work with product managers and software teams to define key business questions, apply ML/DL, statistics, and data-wrangling to drive research