Remote ML Scientist: Polling & Forecasting

Blue Rose Research

United States

Hybrid

USD 140,000 - 190,000

Full time

12 days ago

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401k match
20 weeks parental leave
Fertility and family-building support

Job summary

Blue Rose Research is hiring a Machine Learning Scientist to join the Scaled Polling & Forecasting Team. You’ll build and maintain models that track public opinion, forecast races, and inform strategic decisions for progressive campaigns.

The role emphasizes end-to-end modeling, feature engineering, and translating complex outputs into actionable guidance for internal stakeholders. Remote or NYC office; East Coast hours; strong Python and data-science skills required.

Qualifications

  • 4+ years in ML engineering or research with applied statistics and predictive modeling OR PhD depth.
  • Strong Python programming and data wrangling (SQL).Experience with Identity Resolution, Record Linkage, Survey and Voterfile Modeling, or scaled Bayesian Modeling.

Responsibilities

  • Build and maintain end-to-end modeling pipelines.
  • Develop models and perform feature engineering.
  • Translate statistical outputs into actionable guidance for stakeholders.
  • Scope technical needs and ship solutions with engineers and analysts.
  • Build subject matter context to inform modeling decisions.

Skills

Python
SQL
Identity Resolution
Record Linkage
Survey Modeling
Voterfile Modeling
Bayesian Modeling
NumPyro
JAX

Education

PhD or equivalent depth in ML/Statistics

Tools

NumPyro
JAX

Job description

Blue Rose Research is hiring a Machine Learning Scientist to join the Scaled Polling & Forecasting Team. You’ll build and maintain models that track public opinion, forecast races, and inform strategic decisions for progressive campaigns.

The role emphasizes end-to-end modeling, feature engineering, and translating complex outputs into actionable guidance for internal stakeholders. Remote or NYC office; East Coast hours; strong Python and data-science skills required.

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