Machine Learning Researcher Consultant

Machine Learning Researcher Consultant

Change Research innovates to solve critically important problems at the intersection of data, social science, and politics. Since 2017, Change Research has been at the forefront of measuring public opinion. Candidates, causes, cities, and companies use our data to understand people’s needs, improve messaging, and accomplish their strategic goals. We are seeking a machine learning researcher consultant to help investigate a new project using machine learning to model survey response data.

About the Role

Change Research is hiring a consultant focused on machine learning research. In this role, you will help us test the feasibility of a new project that uses advanced machine-learning techniques to derive patterns from survey response data.

This is a temporary, remote consulting position that reports to the Head of Engineering and Data Science and will work closely with our Product Manager.

Project Overview / Scope of Work

  • Partner with our product manager and technology team to plan and execute the project to test the feasibility of a new approach to using machine learning for survey response data
  • Proactively updating the team on progress toward the project’s defined milestones and any potential roadblocks
  • Deliver final project code and a feasibility report based on the research and collaborative work with our team.
  • Be able to commit at least 10 hours per week to this project. 


  • Our ideal consultant has approximately 3 years of industry or research experience, including: 
    • 2+ years of machine learning research experience in natural language processing, computer vision, or a related field
    • 3+ years working in a Python-heavy codebase
    • Experience driving an ambitious research project to completion
    • The curiosity to try new things; the self-discipline to prize results over technique. 

How to Apply

Click the “Apply” link to submit a resume and answer a few brief questions. Applications will be received on a rolling basis. We will be conducting interviews in October 2022 and may ask candidates to submit work samples or a detailed description of their research experience.