Data Scientist — AI-Driven Political Analytics (Hybrid)

Echelon Insights; Alexandria (VA); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Dental and vision

Retirement options (SIMPLE IRA)

Job summary

Echelon Insights seeks a Data Scientist to design and deploy models, pipelines, and analytical tools powering our political research. You will work with voter files, survey data, and external datasets to build predictive models, automate workflows, and generate insights informing strategy.

The role sits at the intersection of data science, engineering, and political analysis, requiring curiosity, rigor, and a drive to improve research workflows with AI-enabled tooling.

Qualifications

• Strong programming skills in Python, R, SQL, or similar data science tools.
• Experience with large datasets and reproducible analytical pipelines.
• Understanding of statistics, regression modeling, and ML methods.
• Ability to communicate complex findings to non-technical audiences.
• Attention to detail and data quality.

Responsibilities

• Build predictive models of voter and consumer behavior (turnout, persuasion, issue support, candidate preference).
• Develop statistical tools for identifying persuadable audiences, segmentation clusters, and voter typologies.
• Design and analyze experiments and advanced survey methods (message testing, multivariate designs).
• Produce statistical deliverables like cluster analysis, regression models, and persuasion or switching models.
• Help build and maintain the firm’s core data infrastructure (national voter file).

Skills

Python

R

SQL

Statistical thinking

Communication

Education

Bachelor's degree in CS/Math/Statistics

Job description

Echelon Insights seeks a Data Scientist to design and deploy models, pipelines, and analytical tools powering our political research. You will work with voter files, survey data, and external datasets to build predictive models, automate workflows, and generate insights informing strategy.

The role sits at the intersection of data science, engineering, and political analysis, requiring curiosity, rigor, and a drive to improve research workflows with AI-enabled tooling.