Amazon Senior Applied Scientist Causal Inference EU AVS/VX BIE team 

United Kingdom, England, London 

843721115

As a senior member of our data and analytics (DNA) team, you will play a crucial role in developing and implementing sophisticated causal inference models and econometric analyses to drive data-informed decisions across our organization. You will work closely with product managers, data scientists, and business stakeholders to deliver impactful insights that shape our vendor strategies and optimize our operations.Key job responsibilities- Work with BIEs, data scientists, and product managers to automate models in production environments.
- Mentor and guide colleagues, fostering a culture of analytical excellence and innovation.

- PhD in Machine Learning, Econometrics, or a related field.
- 7+ years of experience in solving business problems.
- Experience applying causal inference techniques, such as double machine learning, synthetic control, difference-in-differences, instrumental variables.
- Experience with data scripting languages (e.g., SQL, Python, R, etc.).
- Expertise in SQL, data modeling, warehousing, and building ETL pipelines.
- Experience with AWS technologies (e.g., Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions).
- Knowledge of software engineering best practices and version control systems.
- Excellent ability to communicate with technical and nontechnical stakeholders alike in written documents and verbal communication to collect data requirements.