Experience in data science or statistics within social sciences or political contexts., Proficiency in coding with R or Python and SQL., Knowledge of predictive modeling, record linkage, and experiment design., Strong communication skills to explain technical concepts to diverse audiences..
Key responsibilities:
Build, evaluate, and optimize predictive models for voter outreach.
Collaborate with engineers and analysts to deliver high-quality data products.
Audit and improve existing data science pipelines and models.
Contribute to the development of innovative data products for electoral campaigns.
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The Democratic National Committee’s Tech Team is hiring a Data Scientist to build, evaluate, and optimize predictive models for the DNC to help candidates and state parties optimize their strategy and voter contact programs. The DNC’s data science models will help Democrats win elections all across the country by providing foundational guidance on strategy, resource allocation and effective voter outreach.
In this role, you will be a subject matter expert in data science at the DNC. You will partner with Product Managers, Engineers and Analytics Engineers to elevate our strategic impact and empower Democratic initiatives.
We’re looking for a strong technical collaborator who can work effectively and positively to deliver on outcomes for our users.
About the Role Responsibilities
We’re looking for someone who is excited to contribute to all stages of our data science pipelines, from finding and cleaning the data sources we need to figuring out the right statistical methods to apply to each problem. We’re a small team working on some of the hardest problems in demography and politics and believe that the best way to solve them is by working together.
Good candidates are willing to get nerdy about the details and dirty in the data while staying focused on our goal of electing Democrats.
You Will:
Audit and improve our existing data science products and pipelines. Help us continue building upon and improving our models, the pipelines that produce them, and other data science products we provide.
Build new predictive models for more efficient voter outreach. In cases where a new model is needed, help leverage our existing data and identify new data sources to create new and better predictions.
Collaborate with engineers and analysts to deliver results. Partner across functions to deliver timely and high quality data products to our users.
Promote tech team cultural values. Promote and embody an empathetic, kind, and collaborative workplace where people can do their best work to elect more Democrats. Encourage learning both within data science and crossfunctionally, fostering an environment of growth and curiosity.
You may also help us:
Evaluate vendorprovided models for purchase. Where we do not have sufficient resources to build models inhouse, drive validation and evaluation of vendor models to meet user needs. Empower DNC tech team leadership with the technical understanding and context to make balanced build vs. buy decisions.
Improve and extend our internal record linkage tooling to build a fuller picture of voters. Help us maintain a premier voter file and help campaigns identify the impact of their programs through probabilistic matching.
Increase fairness, accountability and transparency in our models. Ensure we are empowering users with the right training and documentation to leverage our data products to the greatest effect.
You will be part of the DNCs Data Team and will focus on both 1) the nearterm results we need to drive for the 2026 election cycle and 2) the longrange development of groundbreaking products for the progressive ecosystem at large
About the Team
This is highimpact, missioncentered work: ideal for someone who’s energized by progressive tech and wants to build systems that make a difference.
We’re a fully remote team that values clarity over complexity, curiosity over ego, and sustainability over burnout. We believe good ideas can come from anywhere, that accountability and empathy can coexist, and that work should feel meaningful without consuming your whole life. Our team is unafraid to chart a path forward, even in the face of ambiguity.
In this role, you’ll be part of the Data Science Team, and report into our Data Science Lead. You’ll work crossfunctionally with the rest of the Data Team– including analysts and engineers– to collaboratively deliver high quality data products to users across the Democratic ecosystem.
About You
We don’t need candidates to check every box on this list. Think of these qualifications as a guide rather than a strict set of requirements. If you’re excited about the role and feel like you can thrive on our team, we want you to apply!
You have experience doing data science or statistics in a social sciences or business context, which may include electoral politics.
You code comfortably in R or Python and SQL.
You have experience with predictive modeling, record linkage methods, andor experiment design.
You have strong written and verbal communication skills, and experience explaining technical concepts to both technical and nontechnical audiences. You won’t just be building data science products, but you’ll be helping us ensure our diverse users trust them and know how to use them for their individual needs.
You are comfortable with building but also maintaining. We often need to move quickly and with agility to meet campaign deadlines, and sometimes you’ll need to leverage what’s been created already to get products to users when they need them most.
You are curious, collaborative, and humble – ready to work with a diverse, distributed team to solve interesting problems together.
You may also:
Have experience working in modern cloud data environments (GCP, BigQuery, Airflow, dbt, etc.).
Have experience working with political data like state voter files, election results, or data on voter, volunteer, or donor engagement andor the DNC’s data and analytics tools, including experience doing analysis in our BigQuerybased data warehouse (Phoenix) or exposure to political CRMs (e.g. VoteBuilder, NGP VAN, BSD).
Have experience using cloud computing platforms and their ML services (such as BigQuery MLVertex AI on GCP, Sagemaker on AWS, or Azure) or using machine learning infrastructure built on opensource tools (e.g. MLflow or Tensorflow).
Understand the role data can play in political program planning; you think of analysis through the lens of the decisions it will inform, and are deeply focused on asking the right questions before you dive into the weeds of any particular analysis.
The Democratic National Committee (DNC), is committed to diversity among its staff, and recognizes that its continued success requires the highest commitment to obtaining and retaining a diverse staff that provides the best quality services to supporters and constituents. The DNC is an equal opportunity employer and it is our policy to recruit, hire, train, promote and administer any and all personnel actions without regard to sex, race, age, color, creed, national origin, religion, economic status, sexual orientation, veteran status, gender identity or expression, ethnic identity or physical disability, or any other legally protected basis. The DNC will not tolerate any unlawful discrimination and any such conduct is strictly prohibited.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.