You'll own the full lifecycle from messy data to actionable insight, collaborating with an interdisciplinary team to shape the technical direction of our work.
Build end-to-end modeling pipelines. Improve pipeline reliability, data quality checks, and model diagnostics to increase confidence in our modeling outputs.
Develop models, perform feature engineering, and contribute new ideas to improve our core data science approach. Our problems are not well suited to plug-and-play ML solutions. We often have to think creatively about the right ways to evaluate model performance.
Deliver actionable guidance to internal stakeholders, translating the nuances of model output into clear strategic insight.
Build subject matter context and interrogate the data to distinguish real signal from potential bugs.
Scope technical needs alongside engineers, statisticians, and political analysts, then ship the solution.

Requirements

Experience: you have 2+ years of professional data science and/or machine learning experience with applied statistics and predictive modeling, or similar experience gained from a PhD program.
Technical: you're a confident Python programmer who can navigate a codebase and implement extensions. You have strong data-wrangling experience, ideally with SQL and relational databases. You may have experience working with novel AI tools to solve problems and write code.
Collaborative: you thrive in multi-disciplinary teams working alongside engineers, statisticians, and political experts. You're excited about partnering with less technical stakeholders and seeing how your work impacts real-world decision making.
Curious: you're willing to engage with the wider progressive political ecosystem and develop domain knowledge alongside your technical skills.
A strong communicator: you have excellent oral and written communication skills, especially in a remote environment.
A good teammate: you're a kind person and a team player who contributes to a warm working environment.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningapplied statisticspredictive modelingPythondata-wranglingSQLrelational databasesfeature engineeringmodel diagnostics

Soft Skills

collaborationcommunicationcuriosityteamworkproblem-solvingcreativitystakeholder engagementinterdisciplinary teamworkadaptabilitykindness