Blue Rose Research

HQ
New York
34 Total Employees

Jobs at Blue Rose Research

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2 Hours AgoSaved
Remote
USA
Marketing Tech
Strategists apply political research, data, and tools to provide actionable guidance to Democratic campaigns and progressive organizations. They build trusted relationships with candidates and senior staff, address ambiguous needs proactively, operate in fast-changing election environments, present recommendations, and help improve tools for the 2028 election cycle. The role may be full-time, part-time, contract, project-based, or a short-term fellowship.
Marketing Tech
Analyze modeled outputs and research data to produce automated reporting, visualizations, statistical insights, and actionable guidance for political strategists and clients. Build analytics pipelines, conduct regression-based analysis, monitor research returns, identify data quality issues, and collaborate with engineers, machine learning scientists, statisticians, and political experts.
6 Days AgoSaved
Remote
USA
Marketing Tech
Build and maintain end-to-end machine learning pipelines for electoral polling and forecasting. Develop identity resolution, record linkage, survey, voter-file, and forecasting models; perform feature engineering, model evaluation, diagnostics, and data quality checks. Translate statistical outputs into strategic guidance for political organizations, collaborate with engineers and analysts, and develop political subject-matter expertise to identify anomalies and improve model reliability.
Marketing Tech
Own strategy, roadmap, and go-to-market for data-driven products serving progressive organizations. Gather and prioritize user feedback, translate needs into product specs, collaborate with engineers, designers, and data scientists, and demo features and marketing materials to clients. Anticipate user needs within the progressive political ecosystem and iterate rapidly under tight timelines.
2 Months AgoSaved
Remote
USA
Marketing Tech
Lead a team of data scientists developing ML-driven products, managing infrastructure, training models, and ensuring production quality while collaborating with senior leadership.