Data Scientist - Machine Learning

Blue Rose Research develops cutting-edge products used by the most important progressive organizations in the country. Our research informs short- and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers.

Our forecasting team builds models that help progressive organizations understand the electoral landscape and make informed decisions. We track public opinion, forecast races at the top of the ballot, develop resource allocation tools, and deliver polling analysis that clients rely on to set strategy. The work spans the full modeling lifecycle: wrangling messy political data, iterating on core methodology, shipping results to stakeholders, and constantly pressure-testing our accuracy. This role sits at the center of that effort.

We're a fast, dynamic team shipping innovative work that evolves week by week. We're looking for you to bring your passion for data science, a sharp attention to detail, and a drive to make a real impact – sometimes under tight timelines.

What You'll Do

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.

Preferred Qualifications

• 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. You've developed strong instincts about evaluating model performance and can diagnose and debug modeling issues.
• 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.

Don't check every box? Apply anyway. We don't expect every applicant to have expertise in every area listed above. Many of our team members have taken an unusual path to get where they are today, and our unique and diverse perspectives make us more effective. We also believe strongly in our team's ability to learn and excel at new skills and challenges. Join us!

Location

• This is a remote or in-person optional position. We have an office in NYC and a number of team members who work in-person regularly.
• Our teams work on mostly East Coast hours.

What We Offer

• Salary range: $140,000 – $190,000 annually, commensurate with experience
• Medical, dental, and health benefits
• A work environment that supports your difference

Candidates must be authorized to work lawfully in the United States.