Machine Learning Scientist
Core
Build and maintain end-to-end modeling pipelines for polling, forecasting, and resource allocation to help progressive organizations understand the electoral landscape and make informed decisions.
Role type
Senior Machine Learning Scientist (Political Forecasting & Polling)
Builds
Predictive scores, resource allocation tools, and analysis for campaigns and allied organizations
Domain
US Politics / Electoral Forecasting / Survey Analysis
Deliverable
production ML models
Required skills
Python, SQL, relational databases, Identity Resolution, Record Linkage, Forecasting models, Bayesian Modeling (numpyro/JAX), statistical thinking, feature engineering, model diagnostics
Preferred skills
Experience in scaled polling, voterfile modeling, multi-disciplinary collaboration, translating statistical outputs to strategic guidance
Technologies
Python, numpyro, JAX, SQL
Responsibilities
Build and maintain end-to-end modeling pipelines; Develop models and perform feature engineering for polling and survey infrastructure; Translate statistical outputs into actionable guidance for internal stakeholders; Scope technical needs and ship solutions alongside engineers and analysts; Build subject matter context on the political landscape
Seniority
Senior, hands-on IC
