Applied Data Scientist, Political

Civis Analytics Chicago , IL 60602

Posted 2 weeks ago

Here's what we're looking for:

Civis Analytics is looking for Applied Data Scientists to join its DC-based political team.

This team will build the next generation of data science for Democratic and progressive organizations, and Applied Data Scientists will play the principal leadership role on the team.

Civis' objective this year and next is simple: we want every political client organization to be data-driven and digital first. Here's how you'd help:

First, the Civis platform is the technology of record for hundreds of in-house data scientists and analysts across the progressive movement. We seek to extend the feature set and capabilities to help these users quickly and self-reliantly accomplish their missions through data.

Second, Civis is building new digital technologies to help campaigns make the transition to digital outreach. It's 2019 after all. We're building the measurement, execution, and attribution tools to help these campaigns measure, target, and spend their dollars effectively and transparently through digital tools.

Below are more details, and the application. Even if you want to just hear more, let us know by emailing and we'll quickly get on the phone with you to discuss more.

About the Role

The political Applied Data Science (ADS) Team works closely with candidates, independent political organizations, and advocacy groups to provide strategic insights about elections up and down the ballot. ADS is our client-facing advisory arm. Members of the ADS team work collaboratively with social scientists and survey methodologists, software engineers, and solution delivery specialists to create and deliver scalable solutions to clients' needs.

As a Applied Data Scientist in our Chicago or DC office, you will structure hard problems, analyze large data sets, build predictive models, collaborate in cross-functional teams, create client materials, and ensure on-time progress and delivery of our projects. This role reports to an Applied Data Science Lead.

Tasks you might encounter in a typical week include:

  • Drafting a set of visualizations that explain the state of a competitive primary

  • Analyzing the results of a web-based survey and assembling a first draft of a memo outlining key findings

  • Setting up an automated pipeline that identifies anomalies in a changing dataset

  • Using predictive models to describe voters in an upcoming election

  • Working with a client to interpret and explain the results of an analysis

While this is a politically-focused role, individuals have succeeded in this role with a range of backgrounds outside of direct campaign experience, including consulting experience in a non-political role. Members of our team have educational backgrounds in physics, political science, philosophy, and more.


  • Work with colleagues to structure complex client problems to be solved using imperfect data

  • Enhance, find patterns in, and build predictive models on large data sets

  • Produce data visualizations and presentations that communicate technical information to multiple audiences

  • Document processes and decisions, and recommend potential quality control improvements

  • Work with Applied Data Scientist Leads to derive clear, actionable, and timely insights from analyses

  • Work with Applied Data Scientist Leads to create presentations that are client-ready, clear, and correct

Minimum Qualifications

  • Excellent interpersonal and communication skills

  • Ability to tackle difficult analytical problems, break them down into component parts, and work independently or collaboratively with others to solve them

  • Experience using programming languages, including at least one of Python or R, and a willingness to develop these skills on the job

  • Comfort using data to answer questions and communicate those conclusions to others

  • Bachelor's degree in an analytical subject or equivalent experience with data and analytics, which can include skills developed in a past job, on a political campaign, or through self-driven learning

Preferred Qualifications

  • Comfort using very large data sets to answer questions and communicate those conclusions to others

  • Demonstrated ability to work under time restrictions

  • Experience working with presentation and data visualization tools, such as ggplot, Tableau, and MS PowerPoint

Why Civis Analytics?

  • The opportunity to be part of a growing startup working with cutting edge technology focused on continued learning, mentorship, and internal promotion

  • Competitive benefits; including flexible PTO, 401K match with immediate vesting, as well as health, dental and vision benefits

  • Downtown open concept office environment near many great restaurants and public transportation options

Civis embraces the individuality of our employees and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or Veteran status. If you have a disability or special need that requires accommodation, please contact us

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Data Science Intern Applied Machine Learning


Posted 6 days ago

VIEW JOBS 4/14/2019 12:00:00 AM 2019-07-13T00:00 With the advent of genomic sequencing, we can finally decode and process our genetic makeup. We now have more data than ever before but providers don't have the infrastructure or expertise to make sense of this data. Here at Tempus, we believe the greatest promise for the detection and treatment of cancer lies in the deep understanding of molecular activity for disease initiation, progression, and efficacious treatment based on the discovery of unique biomarkers. We're on a mission to connect an entire ecosystem to redefine how patient data is used in clinical settings. Our Data Science team is passionate and focused on applying state of the art machine learning techniques to the processing and analysis of vast amounts of clinical, molecular, and imaging data. What You'll Do * Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine * Design and prototype novel data visualization and analysis tools and algorithms * Wrangle and analyze large diverse sparse datasets, extract insights, and drive further research opportunities * Interrogate analytical results for robustness, validity, and out of sample stability * Document, summarize, and present your findings to a group of peers and stakeholders Required Qualifications: * Degree in computer science, software engineering, statistics, machine learning, bioinformatics or related technical field * Project experience building and validating predictive models on structured or unstructured data * Proficient in Python, and SQL * Experience with the following: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks * Experience with supervised and unsupervised machine learning algorithms, and ensemble methods, such as: K-Means, PCA, Regression, Neural Networks, Decision Trees, Gradient Boosting * Experience working in a Linux / Mac environment Preferred Qualifications * 2+ years full time employment experience building and validating predictive models on structured or unstructured data * competitions and/or kernels track record * Experience working with clinical and/or genomic data * Experience with AWS architecture * Experience with: Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3,, Flask, Dask * Experience in agile environments and comfort with quick iterations Tempus Chicago IL

Applied Data Scientist, Political

Civis Analytics