Data Scientist

Echelon Insights•Alexandria, VA

22h•Hybrid

About The Position

About the Role The Data Team is the technical and analytical engine for all quantitative research, data science, and voter modeling at Echelon Insights. We architect the infrastructure for large-scale, high-velocity research, combining modern data engineering, statistical rigor, and responsive client reporting. As a Data Scientist at Echelon Insights, you will design and deploy the models, pipelines, and analytical tools that power our research and strategy work. You will work with large-scale voter files, survey datasets, and external data sources to build predictive models, automate workflows, and generate insights that inform political and policy decision-making. This role sits at the intersection of data science, engineering, and political analysis . The work ranges from modeling voter behavior to building internal platforms that accelerate research workflows across the firm. We are looking for someone who is technically sophisticated, intellectually curious, and motivated to rethink how modern political research is conducted. The Kind of Person Who Thrives on Our Team You may be a strong fit if you: Take exceptional pride in the accuracy and quality of your work Are intensely curious and constantly exploring new analytical techniques and technologies Balance rigorous quantitative thinking with an intuitive understanding of real-world strategic questions Have a genuine interest in politics and public policy Actively use AI-enabled development tools such as Claude Code, Cursor, and related systems to expand your productivity Push continuously to improve systems, workflows, and analytical approaches rather than accepting the status quo

Requirements

Strong programming skills in Python, R, SQL, or similar data science tools
Experience working with large datasets and building reproducible analytical pipelines
Demonstrated understanding of statistics, regression modeling, and machine learning methods
Ability to communicate complex analytical findings to non-technical audiences
Strong attention to detail and commitment to data quality

Nice To Haves

Experience working with voter files, survey data, or political datasets
Familiarity with survey methodology, weighting, or experimental design
Experience building production-level analytical workflows or data infrastructure
Experience with cloud data environments or distributed data systems
Experience integrating AI tools or LLM-driven analysis into research workflows

Responsibilities

Modeling and Statistical Analysis Build predictive models of voter and consumer behavior, including turnout, persuasion, issue support, and candidate preference
Develop statistical tools for identifying persuadable audiences, segmentation clusters, and voter typologies
Design and analyze experiments and advanced survey methods, including message testing and multivariate research designs
Produce statistical deliverables such as cluster analysis, regression models, and persuasion or switching models
Data Engineering and Infrastructure Help build and maintain the firm’s core data infrastructure, including a continuously updated national voter file
Develop pipelines to integrate survey data, voter-file attributes, and external datasets
Build reproducible analysis workflows that support large-scale research across multiple projects
Maintain clean, well-documented datasets and code repositories
Automation and Tool Development Build tools to automate research workflows including data processing, modeling, and deliverable generation
Develop internal platforms that accelerate analysis and reporting across the organization
Apply AI and machine learning tools to tasks such as survey analysis, classification of open-ended responses, and research summarization
Rapidly prototype and deploy new analytical systems that improve speed-to-insight
Research Innovation Propose and test new modeling approaches to improve predictive accuracy and strategic insight
Experiment with new data sources, modeling frameworks, and machine learning approaches
Contribute ideas for the next generation of AI-enabled survey research and political analytics