Applied Scientist - AWS Causality Lab in Tübingen

BESCHREIBUNG

Are you interested in working on fascinating scientific and engineering challenges of modern information technology? Would you like to contribute to the development of the future generation of cloud computing at Amazon Web Services?

As an Applied Scientist, you will be working on cutting edge projects in the intersection of causal inference, machine learning, and high-dimensional statistics. You will be part of an ambitious team of scientists and software engineers that is together developing novel software products for world-wide use.

The AWS Causality Lab is located at the Tübingen site in Germany. Our goal is to enable our customers to improve confidence in their data science conclusions by making the underlying cause-effect relationships explicit. Going beyond mere correlational analysis, we quantify the causes of observations, and provide actionable insights based on data-driven what-if predictions.
Our mission is to provide automated software for causal inference to our customers which builds on formalisms, algorithms, and statistical guarantees.

As an Applied Scientist in the Causality Lab, you will be responsible for:

• research and development of algorithms in causal inference
• analyzing different data types, including time series, textual data sources and graphs
• infering causal relationships between these inputs, and discriminating these from coincidental correlations
• identifying the causes of particularities in data and quantify their specific contributions to downstream metrics
• infering interventional and counterfactual analysis
  
• collaborating product and development teams across AWS and Amazon as well as directly with customers

We at AWS value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.