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Environmental Data Scientist Jobs in Wisconsin (NOW HIRING)

Alterman, Inc.

WI · On-site

$120 - $180/hr

The Data Scientist is responsible for leveraging advanced analytics, statistical models, and ... Experience with data in construction, field services, or operations-heavy environments preferred.

Posted today

FIS

Data Scientist

Milwaukee, WI

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... Collaborative work environment * Opportunities to give back * Competitive salary and benefits ...

New

Worldpay, Inc.

Data Scientist

Milwaukee, WI · On-site

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... Collaborative work environment * Opportunities to give back * Competitive salary and benefits ...

New

Jobtailor

WI · On-site

$90 - $150/hr

Experience collaborating in a Git-based team environment using code reviews, Agile tickets, and ... data science or AI solutions * Preferred: experience supporting Department of Defense, military or ...

Valid8 Financial, Inc.

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Experience in Agile project delivery environments Education / Experience * 5+ years of experience in data science, machine learning, or analytics * Master's degree in Analytics, Data Science ...

KBR, Inc

WI · On-site

$177 - $217/hr

Data Scientist Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides ... Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation ...

New

Memorial Hermann Health System

WI · On-site

$95 - $130/hr

Ability to work under minimal supervision in a fast‑paced multidisciplinary environment * Advanced knowledge of data science methods - time series forecasting, linear regression, A/B testing ...

Soteria Reinsurance Ltd.

WI · On-site

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... Implement new technologies in a production environment with product, IT, and data engineering teams.

US Department of Commerce

Data Scientist

Madison, WI · On-site

$106K/yr

... Environmental Satellite, Data, and Information Service (NESDIS), with 2 vacancies in one of the ... Mathematics, statistics, computer science, data science or field directly related to the position.

Worldpay, Inc.

Data Scientist Lead

Milwaukee, WI · On-site

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... Collaborative work environment * Opportunities to give back * Competitive salary and benefits ...

New

FIS

Data Scientist Lead

Milwaukee, WI · On-site

As a key member of the Data Science team, the data scientist will deploy data-driven exploratory ... Collaborative work environment * Opportunities to give back * Competitive salary and benefits ...

New

US Bank

Data Scientist

Brookfield, WI · On-site

$111K - $131K/yr

Define enterprise data standards, metadata management practices, and data governance processes ... Ability to adapt in a fast-paced, evolving environment. * Ownership mindset with a passion for ...

University of Wisconsin

Data Scientist II

Madison, WI · On-site

$72 - $88/hr

The Data Scientist II will design, develop, and maintain data pipelines, data models ... Support integration of GIS data sources into enterprise data environments Stakeholder Collaboration ...

Posted today

Ayres Associates

Environmental Scientist

Green Bay, WI · On-site

$73K - $95K/yr

We are looking for a motivated Environmental Scientist to support our growing practice within the ... Interpret environmental data and assist with technical reports, figures, and tables. * Travel ...

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Environmental Data Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do environmental data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for environmental data scientist in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is an environmental data scientist?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

What does an environmental data scientist do?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

What are the key skills and qualifications needed to thrive as an environmental data scientist?

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

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

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

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

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

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

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

What cities in Wisconsin are hiring for Environmental Data Scientist jobs?

Cities in Wisconsin with the most Environmental Data Scientist job openings:

Environmental Data Scientist jobs near you
Infographic showing various Environmental Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 76% Full Time, 8% Part Time, 8% Contract, and 8% Nights. Highlights an 100% In-person job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Data Scientist

Alterman, Inc.

WI • On-site

$120 - $180/hr

Other

Posted 7 hours ago

Posted today

Alterman rating

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

The Data Scientist is responsible for leveraging advanced analytics, statistical models, and machine learning techniques to uncover insights from structured and unstructured data. This role supports decision-making across departments by developing predictive models, visualizations, and data-driven strategies that enhance business performance and operational efficiency. This role serves as a critical link between data and decision-making, collaborating with business leaders, operational teams, and technologists to uncover and communicate meaningful insights.

Essential Functions:1.Data Science & Modeling: 60%
  • Designs and executes data experiments to validate hypotheses and measure model performance.
  • Designs, develops, and deploys machine learning (ML) models within Snowflake-based data pipelines and workflows.
  • Conducts large-scale statistical analyses and controlled experiments to uncover actionable insights.
  • Explores and analyzes structured and unstructured data to detect trends, anomalies, and opportunities.
  • Turns broad or unclear problems into actionable projects by defining success metrics and setting clear goals for analysis.
  • Collects, cleans, and prepares data for modeling and analysis to ensure data integrity and quality.
  • Partners with Data Engineers to integrate and deploy analytical models and products into production environments.
  • Translates high-priority business challenges into analytical strategies and data models that drive measurable return on investment (ROI).
2. Stakeholder Engagement & Innovation: 25%
  • Visualizes complex data and crafts compelling, audience-tailored narratives for stakeholders at all levels—from frontline teams to executive leadership.
  • Communicates findings in a clear, actionable manner that informs strategic decisions across the business.
  • Stays informed on emerging AI/ML advancements and evaluates their potential to enhance business outcomes.
3. Performs other duties as assigned. 15%Education and Experience:
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science or related field.
  • 4+ years of experience in hands-on data science, including modeling, visualization, and end-to-end project ownership.
  • Experience with data in construction, field services, or operations-heavy environments preferred.
Skills/Abilities:
  • Strong problem-solving mindset with the ability to navigate ambiguity, rapidly prototype solutions, and iterate based on feedback.
  • Able to communicate technical concepts to non-technical stakeholders in a clear, compelling, and engaging manner.
  • Demonstrated ability to collaborate effectively within agile, cross-functional teams.
  • Proficient in Python, SQL (Snowflake preferred), and data wrangling in large-scale environments.
  • Familiarity with cloud data warehouses and MLOps best practices (bonus if you've used Airflow, or similar tools).
  • Skilled in ML techniques (e.g., regression, classification, clustering, and ensemble methods).
  • Previous exposure to deep learning, Natural Processing Language (NLP), and computer vision is a plus.
Physical Demands:
  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.
Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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