Blueroseresearch Data Scientist focused on analytics to build pipelines, analyze data, and deliver insights for political campaigns and progressive organizations. Collaborates with interdisciplinary teams to support strategic decision-making.
Responsibilities
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
Qualification
Required
Experience with SQL and relational databases
Strong R programming background or significant Python experience with willingness to learn R
Experience using Github or other version control tools
Ability to work in multi-disciplinary teams
Comfortable working with less-technical stakeholders