Blue Rose Research · 2 months ago
ML - Data Scientist (Statistical Modeling & AI Systems)
United States
Full-time
Remote
Mid, Senior Level
$140K/yr - $190K/yrBlue Rose Research builds data and AI tools that help Democrats win elections. The role involves designing and scaling tools using generative AI and statistical modeling to provide insights for progressive campaigns.
Business IntelligenceMarket Research
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
Communicate results and uncertainty clearly to both technical and strategic audiences
Collaborate on A/B testing frameworks and survey experiment design
Architect and maintain modeling and AI infrastructure with clear separation of concerns, reproducibility, and scalability
Write clean, efficient, and well-tested Python code; manage data flow and model deployment
Develop internal APIs and lightweight web tools for data visualization, LLM interactions, and model monitoring
Build and maintain ETL workflows, SQL-based schemas, and workflow automation
Integrate voter files, survey data, and ad-performance metrics into unified modeling pipelines
Support data reliability, performance monitoring, and quality assurance
Qualification
Required
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
Collaborative, curious, and impact-driven—you want your code to make a difference
Preferred
Experience with survey research, political data, or voter files
Familiarity with cloud infrastructure (GCP, AWS) or orchestration tools (Airflow, Prefect)
Experience building evaluation systems for LLMs or integrating generative models into production workflows
Benefits
Competitive health, dental, and vision coverage
Generous leave
A supportive, mission-driven culture
Company
Blue Rose Research
Blue Rose Research helps campaigns make quality strategic decisions by democratizing access to accurate measurement.
11-50 employees
Funding
Current Stage
Early StageRecent News
Technically Media
2025-04-22
2025-03-25
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