Data Scientist

Polco

$95K — $115K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent experience in a quantitative field (statistics, economics, etc.).
  • 2+ years of relevant industry experience in data science or quantitative analysis.
  • Proficiency in Python and SQL; familiarity with R preferred.
  • Strong foundation in statistics and interest in causal inference and model building.
  • Experience with agentic AI tools for analysis and workflow development.
  • Excellent communication skills, particularly for non-technical audiences.
  • Ability to thrive in a fast-paced, ambiguous environment with strong organizational skills.

Responsibilities

  • Maintain and operate recurring data processes and analytic databases.
  • Build and enhance statistical models for customer renewals and adapt them as needed.
  • Engage in advanced client analytics projects with Polco leadership mentorship.
  • Collaborate with Engineering to automate data workflows and improve statistical tooling.
  • Work with Marketing, Sales, and Customer Success on internal analytics projects.
  • Document work clearly for reproducibility and contribute to reporting tools.

Benefits

  • Comprehensive dental, medical, and vision coverage.
  • Flexible hybrid work options if in Madison, WI; fully remote for other locations.
  • Generous paid time off, plus 15 company holidays.
Full Job Description
As a Data Scientist at Polco, you'll help synthesize advanced insights for our roughly 400 premier US local governments across 50 states. With an average population of over 90,000, you'll be positively impacting more than 36 million Americans.

This role spans descriptive analytics (characterizing community trends and benchmarks), predictive analytics (cloud-based machine learning models that show communities where their key metrics are headed), and causal analytics (contributing to the causal econometric work Polco is known for, with mentorship from our PhD economist).

If you're a mission-driven Data Scientist with a solid statistics foundation and are comfortable working in Python and SQL (R is a plus) on large, cloud-based datasets (Snowflake), this is the role for you.

While remote candidates across the US will be considered, our preferred candidate will be located in the Madison, WI area and work a hybrid schedule based out of Polco's headquarters office.

Key Responsibilities
  • Maintain and run Polco's recurring data processes, including GPAL and other analytic databases (data ingests, cleaning, dataset refreshes), survey weighting and benchmarking, and periodic model updates.
  • Build and improve statistical and predictive models using GPAL and our other databases (for example, our customer renewal model), and adapt existing models as our needs change.
  • With mentorship from Polco leadership, take on advanced client analytics projects-including impact and causal-inference studies-and communicate results clearly to internal and external stakeholders through written, in-person, and virtual presentations.
  • Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics, dashboards) and make statistical and AI tooling more accessible across the company.
  • Collaborate with our Marketing, Sales, Customer Success, and Survey Research Teams on internal analytics like renewal models.
  • Keep clear, organized, and professional documentation so your work is reproducible and transferable across the team, and contribute to Polco's online reporting tools and internal data apps.


Skills & Requirements
  • Bachelor's degree or equivalent experience in a quantitative field grounded in statistics (data science, statistics, economics, or similar). A graduate degree will be helpful, but not required.
  • 2+ years of applied, non-academic industry experience in data science or quantitative analysis. A strong applied-project or capstone portfolio can offset part of this.
  • Proficiency in Python and SQL (required).
  • Working knowledge of R, or willingness to read and learn it as some of our existing tools and internal apps are written in R.
  • A solid statistics foundation and genuine interest in causal inference and model building. Deep causal-inference expertise is not required (we'll mentor it), but the aptitude and curiosity to learn it are mandatory.
  • Experience building with agentic AI tools (e.g., Claude, Codex)-not just using them, but orchestrating them to run analyses, develop reusable workflows and skills, and extend what you can do statistically beyond what you could hand-code alone.
  • Strong written and verbal communication skills, including explaining technical work to non-technical stakeholders.
  • Experience working in ambiguity and excitement about moving at startup pace-you like bringing structure to messy, open-ended problems and adapt well when priorities shift.
  • Highly organized, detail-oriented, and able to manage multiple projects with minimal oversight.


Nice-to-have Experience
  • Survey research, public-sector, or civic-data experience.
  • Strong data-visualization skills and a 'storytelling with data' sensibility.
  • Experience automating or scaling data workflows in the cloud (Snowflake, etc.).


Perks & Benefits:
  • Exceptional benefits package including dental, medical, and vision coverage.
  • Hybrid work environment if located in the Madison, WI area; 100% remote if elsewhere.
  • Flexible work hours, 15 company holidays, and generous paid time off.


To Apply:

Apply for the Data Scientist position by submitting a resume, cover letter, and your personal information to the listing on Polco's careers page (both a cover letter and resume are required for full consideration). Please upload your application materials as PDFs. This position was opened on September 2, 2026 and will remain open until filled.

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