Research Scientist - Information Theory and Statistical Inference
Evolver, Palo Alto, California +1
About the job
About Evolver
Evolver is an AI technology company transforming professional services. We combine deep domain expertise, advanced AI, and continuous applied learning to automate complex enterprise workflows while keeping people involved where judgment matters. Our goal is to help organizations operate more efficiently, accurately, and intelligently.
The Role
Evolver is looking for a Research Scientist with a strong background in information theory, statistical inference, uncertainty quantification, or related mathematical methods.
You will help develop methodologies for understanding how large-scale, heterogeneous enterprise data can be transformed into decision-relevant information, how uncertainty changes as new evidence is acquired, and how the value of information can be quantified.
We welcome applications from exceptional recent graduates as well as experienced researchers. We care more about mathematical depth, research ability, and original thinking than years of industry experience.
What You'll Do
- Develop methods to quantify information content, information gain, uncertainty, redundancy, and information loss across complex data systems.