Senior Research Tools Developer / Scientific Programmer

San Francisco, CA, United States

Theorem


Role Location

  • San Francisco, CA, United States

Employees

11 - 25 people

Address

436 Bryant St
San Francisco, CA, 94107, US

Tech Stack

  • Pandas
  • Numpy
  • Scikit Learn
  • Data Science
  • Python
  • C++
  • Statistics
  • Machine Learning
  • Fast Code

Role Description

We are seeking an expert Research Tools Developer / Scientific Programmer to join our growing team of researchers and software engineers. The primary responsibility will be to collaborate with our highly technical researchers to create software tools to facilitate research. Most of our research and analytical code is in python and we make heavy use of numpy, scipy, scikit-learn, pandas, and other open source python data analysis packages.

Key responsibilities: Implement and maintain key scientific components of our production code base Be responsible for accelerating Theorem research workflow, including optimization and parallelizing model training and validation
Contribute to our software engineering culture of writing correct, maintainable, elegant and testable code Represent Theorem as part of the open source community, which may include contributing non-proprietary code to open source projects

Experience desired: Implement and maintain key scientific components of our production code base Be responsible for accelerating Theorem research workflow, including optimization and parallelizing model training and validation
Contribute to our software engineering culture of writing correct, maintainable, elegant and testable code Represent Theorem as part of the open source community, which may include contributing non-proprietary code to open source projects

About Theorem

We are a cross-disciplinary team applying machine learning and rigorous scientific investigation to revamp the lending and securitization space. This is one of finance’s least sexy areas, but is a multi-trillion dollar market- and it’s where the financial crisis started. Bad technology was a major cause, and even after almost 10 years, no one has fixed it.

Company Culture

Smart, friendly and kind. Hardworking, respectful. Eagerly nerdy, collaborative, research and science obsessed.

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