Data Scientist
Company
Dnc
Location
USA
Type
Full Time
Job Description
- We're focused on equipping Democratic candidates and campaigns around the country with the data and analytics resources they need to win, and are looking for a Data Scientist with a diverse range of experiences and skill sets to help us tackle numerous projects. Whether 2022 was your first time volunteering for a campaign or you've been working with electoral data teams for multiple cycles, we'd love to talk to you.
- Good candidates are willing to get nerdy about the details while staying focused on our goal of electing Democrats. Among other things, in this role you could help us:
- 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.Â
- 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 the Scores team to deliver results. Partner across functions to deliver timely and high quality data products to our users.Â
- 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 cross-functionally, continuing to take advantage of our cross-functional team and fostering an environment of growth and curiosity.Â
- Evaluate vendor-provided models for purchase. Where we do not have sufficient data to build models in-house, 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 Machine Learning. 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 DNC's Data Team and will focus on both 1) the near-term results we need to drive for this election cycle and 2) the long-range development of groundbreaking products for the progressive ecosystem at large.
- Have experience doing data science or statistics in a social sciences context, which may include electoral politics.
- Advanced proficiency with R or Python and SQL.
- 2+ years of experience with predictive modeling, record linkage methods, and/or experiment design, or educational equivalent.
- Have strong written and verbal communication skills, and experience explaining technical concepts to both technical and non-technical 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.
- 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.
- Are curious, collaborative, and humble – ready to work with a diverse, distributed team to solve interesting problems together.
- Secure the future of our country? Right now a lot is at stake in our country and our team has a huge opportunity to make a real difference.
- Work with amazing people? We’re building a diverse, distributed team, hiring the best people we can wherever they are—alumni from past Presidential campaigns working out of DC and New York, experienced product developers from the SF Bay Area, and more.
- Never stop learning? There are people who know about politics and people who know about technology and a few who have figured out some things about how to combine the two, but we are blazing a lot of new trails and you should be comfortable exploring and learning from everyone you can.

Date Posted
08/09/2024
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