The Democratic National Committee (DNC) is seeking a Data Scientist to build, evaluate, and optimize predictive models to help candidates and state parties improve their strategy and voter contact programs, ultimately aiming to help Democrats win elections by providing guidance on strategy, resource allocation, and voter outreach.
Requirements
- Experience doing data science or statistics in a social sciences or business context, which may include electoral politics
- Code comfortably in R or Python and SQL
- Experience with predictive modeling, record linkage methods, and/or experiment design
- Experience working in modern cloud data environments (GCP, BigQuery, Airflow, dbt, etc.)
- Experience working with political data like state voter files, election results, or data on voter, volunteer, or donor engagement and/or the DNC’s data and analytics tools, including experience doing analysis in our BigQuery-based data warehouse (Phoenix) or exposure to political CRMs (e.g. VoteBuilder, NGP VAN, BSD)
- Experience using cloud computing platforms and their ML services (such as BigQuery ML/Vertex AI on GCP, Sagemaker on AWS, or Azure) or using machine learning infrastructure built on open-source tools (e.g. MLflow or Tensorflow)
- Understand the role data can play in political program planning; think of analysis through the lens of the decisions it will inform, and are deeply focused on asking the right questions before diving into the weeds of any particular analysis
Responsibilities
- Build, evaluate, and optimize predictive models for the DNC
- Audit and improve existing data science products and pipelines
- Build new predictive models for more efficient voter outreach
- Leverage existing data and identify new data sources to create new and better predictions
- Evaluate vendor-provided models for purchase
- Improve and extend internal record linkage tooling to build a fuller picture of voters
- Help maintain a premier voter file and help campaigns identify the impact of their programs through probabilistic matching
Other
- Partner with Product Managers, Engineers and Analytics Engineers to elevate strategic impact and empower Democratic initiatives
- Collaborate with engineers and analysts to deliver results
- Promote tech team cultural values
- Strong written and verbal communication skills, and experience explaining technical concepts to both technical and non-technical audiences
- Curious, collaborative, and humble – ready to work with a diverse, distributed team to solve interesting problems together
