Data Scientist - Analytics; Senior and Junior

Remote

Note:

We are currently collecting resumes for this role; active hiring will begin in January. Details of role may be revised when hiring begins.

Blue Rose Research helps Democrats win elections and advance progressive causes. We work with campaigns in battleground races up and down the ballot and major Democratic, progressive, and advocacy organizations across the country to produce the research and build the tools they use to decide what to say and where to spend.

We are hiring a data scientist with a focus in analytics to work at the intersection of modeling and analysis, supporting internal stakeholders in delivering guidance to key clients. Collaborating with our interdisciplinary team, this role will utilize technical and analytical skills to turn our modeled outputs into insights, conduct analysis based on questions from political strategists, and help automate actionable takeaways on our data.

We’re a fast and dynamic team, and you’ll be contributing to innovative work that evolves week by week. We’re looking for you to bring your passion for data analytics, a strong attention to detail, and a desire to make a big impact – sometimes under tight timelines.

You will
:

• Help build out a suite of analytics pipelines to take modeled outputs and produce automated reporting on public opinion and voter behavior at a rapid cadence.
• Build clear data visualizations and deliverables in R to communicate our modeled results to less technical audiences.
• Analyze data using regressions and other statistical concepts to answer questions from political strategists and clients.
• Scope new research instruments, put them in the field, then monitor and analyze returns to craft robust guidance and answer client questions.
• Deliver actionable guidance to important internal stakeholders, helping them understand nuances of the model output.
• Build subject matter context and think critically about our data in order to discern real trends versus potential bugs to flag for our machine learning data scientists.
• Use and provide product feedback on existing infrastructure to engineers and machine learning data scientists
• Contribute new ideas to the ways we analyze, interpret, and communicate our data –we strive to deliver the best strategic guidance and believe that everyone on the team is part of that goal.

Qualified candidates ideally have:

• Experience with SQL and relational databases. Can quickly orient themselves to a new dataset, perform exploratory analysis, spot data quality issues, and justify decisions about how to handle imperfect data.
• A strong R programming background, or significant experience in python and a willingness to learn R.
• Used Github or other version control tools
• A desire to work in multi-disciplinary teams with engineers, machine learning data scientists, statisticians and political experts. Is excited about working with less-technical stakeholders and seeing how their work impacts real-world decision making.
• Experience pulling insights from data, building a story around them, and creating effective visualizations to communicate those findings (in ggplot, matplotlib, or similar).
• Strong oral and written communication skills, especially in a remote environment
• Is solutions-oriented, has strong attention to detail, and is a creative thinker who isn’t daunted by open-ended research questions.
• Is a kind person and a team player who contributes to a warm working environment.

Extra points if you have:

• Experience contributing to a codebase using agentic coding tools (e.g. Claude Code)
• Experience designing, building, and owning production-level analytics pipelines using real-world data
• Experience working with the voterfile
• Willingness to engage with the wider…