Blue Rose Research is looking to solve the problem of helping Democrats win elections by building data and AI tools that power decisions for top campaigns and progressive organizations.
Requirements
- Proficient in Python and comfortable writing and querying SQL (BigQuery).
- Skilled in statistical modeling (e.g., logistic regression, hierarchical/multilevel models, causal inference, treatment effects).
- Familiar with AI/ML frameworks (e.g., OpenAI, Hugging Face, LangChain) and data science libraries (e.g., scikit-learn, statsmodels, PyMC, or Stan).
- Comfortable working with large datasets and experimental data pipelines.
- Clear communicator: able to translate technical results into actionable insights.
- Experience with survey research, political data, or voter files.
- Familiarity with cloud infrastructure (GCP, AWS) or orchestration tools (Airflow, Prefect).
Responsibilities
- Develop and scale LLM-based tools that analyze news, social media, and message performance, combining hierarchical Bayesian models with cutting-edge LLM tooling.
- Build content-generation and summarization systems that interface with campaign data and modeling outputs.
- Automate and optimize data labeling, model fine-tuning, and model evaluation loops using Python-based frameworks.
- Design, train, and interpret large logistic regression and hierarchical models to estimate causal effects of political messages and ads.
- Build pipelines that integrate experimental and observational data for treatment effect estimation.
- Architect and maintain modeling and AI infrastructure with clear separation of concerns, reproducibility, and scalability.
- Develop internal APIs and lightweight web tools for data visualization, LLM interactions, and model monitoring.
Other
- Collaborative, curious, and impact-driven—you want your code to make a difference.
- Clear communicator: able to translate technical results into actionable insights.
- Competitive health, dental, and vision coverage; generous leave; and a supportive, mission-driven culture.
- Fully remote team with an NYC office and regular in-person meetups (NYC & DC).
- Most of our work happens on East Coast time.
