Data Scientist

Polco; Madison (WI); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Dental coverage

Medical coverage

Vision coverage

Hybrid work in Madison

Remote work across the US

Flexible hours

15 company holidays

Paid time off

Job summary

Polco is seeking a Data Scientist to synthesize advanced insights for local governments using descriptive, predictive, and causal analytics. The role involves working with Python, SQL, and cloud-based datasets (Snowflake) on a hybrid schedule, preferably from Madison, WI, with remote options across the US.

You will build predictive and causal models, automate data workflows with the engineering team, and present findings to internal and external stakeholders, driving data-informed decisions

Qualifications

• Bachelor's degree or equivalent in a quantitative field grounded in statistics (data science, statistics, economics, or similar).
• 2+ years of applied, non-academic industry experience in data science or quantitative analysis.
• Proficiency in Python and SQL (required).
• Working knowledge of R, or willingness to read and learn it.
• A solid statistics foundation and genuine interest in causal inference and model building.
• Experience building with agentic AI tools (e.g., Claude, Codex) and orchestrating analyses.
• Strong written and verbal communication skills for stakeholders.
• Experience working in ambiguity and moving at startup pace.

Responsibilities

• Maintain and run Polco's recurring data processes, including GPAL and other analytic databases, survey weighting and benchmarking, and periodic model updates.
• Build and improve statistical and predictive models using GPAL and other databases.
• Conduct advanced client analytics projects including impact and causal-inference studies and communicate results clearly.
• Partner with Engineering to automate data workflows and make statistical tooling accessible across the company.
• Collaborate with Marketing, Sales, Customer Success, and Survey Research on internal analytics like renewal models.
• Keep documentation organized and reproducible across the team and contribute to internal reporting tools.

Skills

Python

SQL

R

Statistics

Causal inference

Agentic AI tools

Communication

Ambiguity handling

Project management

Startup pace

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Job description

Polco is hiring a Data Scientist! Polco runs some of the most important local government performance databases in the country, including GPAL, which is a 'Bloomberg Terminal of local government performance.' 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.