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Data Scientist Forecasting Remote Jobs in Wisconsin

Polco

Data Scientist

Madison, WI · On-site +1

$90K - $120K/yr

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

Evans Transportation Services LLC

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Description THE POSITION Under the direction of the Manager, Data & Analytics, this role will be the Data Engineer responsible for designing, building, and maintaining the data infrastructure that

Danaher

Principal Clinical Scientist

Milwaukee, WI · On-site +1

At Danaher Diagnostics, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable,

Sargento

Data, Analytics, & AI Intern

Plymouth, WI · On-site +1

Do you have a passion for data and uncovering insights that drive business decisions? Are you interested in analyzing data, developing insights, and supporting the decision-making process for

Sargento

Data, Analytics, & AI Intern

Plymouth, WI · On-site +1

Do you have a passion for data and uncovering insights that drive business decisions? Are you interested in analyzing data, developing insights, and supporting the decision-making process for

American Transmission Company

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

Summary of Responsibilities: At American Transmission Company (ATC), data is more than information. It is a strategic asset that helps us operate the electric grid safely, reliably, and efficiently.

Qualysoft

Fur ein anspruchsvolles KI- und Datenplattform-Projekt im Enterprise-Umfeld wird ein erfahrener Platform Engineer gesucht. Ziel ist der Aufbau, Betrieb und die Weiterentwicklung einer stabilen,

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Data Scientist Forecasting Remote information

What does a data scientist specializing in forecasting do when working remotely?

A Data Scientist in Forecasting working remotely uses statistical models, machine learning algorithms, and large datasets to predict future trends or outcomes for a business. Their tasks often include gathering and cleaning data, building predictive models, evaluating their accuracy, and communicating findings to stakeholders. Remote data scientists collaborate with teams through virtual meetings and cloud-based tools, ensuring their forecasts support business decisions. The remote aspect offers flexibility but requires strong communication and self-management skills.

How does a remote data scientist specializing in forecasting typically collaborate with cross-functional teams?

Remote Data Scientists in forecasting roles regularly collaborate with product managers, engineers, and business analysts through virtual meetings, shared dashboards, and project management tools. They are often responsible for presenting forecast results, discussing model assumptions, and incorporating stakeholder feedback to refine predictions. Effective communication and documentation are crucial, as team members may operate across different time zones. This collaborative environment helps ensure that forecasting models align with business goals and can be effectively integrated into decision-making processes.

What are the key skills and qualifications needed to thrive as a data scientist specializing in forecasting in a remote role?

To thrive as a Data Scientist specializing in Forecasting, you need a strong background in statistics, mathematics, and machine learning, usually supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with forecasting libraries (like Prophet or ARIMA), and familiarity with cloud-based data platforms are typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and translating complex findings into actionable insights. These skills and qualities are vital for building accurate predictive models and ensuring effective decision-making in distributed teams.

What is the difference between Data Scientist Forecasting Remote vs Data Analyst Forecasting Remote?

AspectData Scientist Forecasting RemoteData Analyst Forecasting Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; typically less emphasis on advanced modeling
Work EnvironmentCollaborative teams, often in tech or finance industries; remote work commonBusiness units, marketing, or finance teams; remote options widely available
Employer & Industry UsageTech companies, finance, e-commerce; focus on predictive modeling and forecastingRetail, marketing, finance; focus on reporting and trend analysis

Data Scientist Forecasting Remote roles focus on advanced predictive modeling and machine learning, requiring higher technical skills and credentials. Data Analysts Forecasting Remote positions emphasize data reporting and trend analysis with less emphasis on complex modeling. Both roles are often remote and serve similar industries, but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist Forecasting jobs in Wisconsin?

The most popular types of Data Scientist Forecasting jobs in Wisconsin are:

What are popular job titles related to Data Scientist Forecasting Remote jobs in Wisconsin?

For Data Scientist Forecasting Remote jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Scientist Forecasting Remote jobs in Wisconsin look for?

The top searched job categories for Data Scientist Forecasting Remote jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Scientist Forecasting Remote jobs?

Cities in Wisconsin with the most Data Scientist Forecasting Remote job openings:

Data Scientist Forecasting Remote jobs near you
Infographic showing various Data Scientist Forecasting Remote job openings in Wisconsin as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist

Madison, WI • On-site, Remote

Polco
Internet Websites and Web Search Portals • 11 - 50 employees
Learn more about Polcoexternal

$90K - $120K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago

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.

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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