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Environmental Data Science Intern Jobs in Minnesota

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

... science or machine learning experience, applied in commercial or operational environments Experience creating predictive models for non-data-scientists to make real commercial or operational ...

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN

$14.75 - $19/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ... Interns will learn the data science lifecycle including data acquisition, transformation, data ...

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN · On-site

$15.25 - $19.75/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ... Interns will learn the data science lifecycle including data acquisition, transformation, data ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

... environments. Lyntris supports U.S. and allied defense organizations across every branch ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ...

Accelint Holdings LLC

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

... environments. Lyntrissupports U.S. and allied defense organizations across every branch ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ...

Jobtailor

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Experience in designing and implementing data applications, including deploying them to production environments. * Expertise in data science, machine learning, data mining, operations research, and ...

Daikin Applied

Data Scientist III

Plymouth, MN · On-site

Master's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * Experience in R&D lab, manufacturing, or operations work environment Your ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... Experience building and deploying machine learning models in a production environment. * Strong ...

System One Holdings, LLC

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... Experience building and deploying machine learning models in a production environment. * Strong ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... Experience building and deploying machine learning models in a production environment. * Strong ...

Daikin-Applied

Data Scientist III

Plymouth, MN · On-site

$90 - $153.30/hr

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics ... environment, you'll love a career at Daikin Applied! #J-18808-Ljbffr

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... Experience building and deploying machine learning models in a production environment. * Strong ...

Daikinapplied

Data Engineer III

Minneapolis, MN

$90K - $153K/yr

Master's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * Experience in R&D lab, manufacturing, or operations work environment Your ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... Experience building and deploying machine learning models in a production environment. * Strong ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by ... Experience building and deploying machine learning models in a production environment. * Strong ...

Resourcex,Inc.

Data Science Training

Saint Paul, MN · On-site

Professional environment. Special interview training Training for skill enhancement. Study material and Lab material provided. E-Verified company. If you are interested or if you know anyone looking ...

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Environmental Data Science Intern information

What is the difference between Environmental Data Science Intern vs Environmental Data Analyst?

AspectEnvironmental Data Science InternEnvironmental Data Analyst
Required CredentialsTypically pursuing or recent graduate in environmental science, data science, or related fieldsBachelor's or master's in environmental science, data analysis, or related fields; some roles prefer certifications in data analysis
Work EnvironmentInternship setting, often in research labs, environmental agencies, or consulting firmsFull-time role in environmental agencies, consulting firms, or corporate sustainability teams
Employer & Industry UsageUsed by organizations offering internships to train future professionalsUsed by organizations analyzing environmental data for decision-making and reporting

The main difference is that an Environmental Data Science Intern is an entry-level position aimed at gaining experience, while an Environmental Data Analyst is a more experienced role focused on analyzing and interpreting environmental data to support organizational goals.

What types of projects does an environmental data science intern typically work on, and how do they contribute to the overall team goals?

Environmental Data Science Interns often work on projects involving the collection, analysis, and visualization of environmental data, such as air or water quality, climate trends, or biodiversity metrics. Interns may assist in developing models to forecast environmental changes or create dashboards that help communicate findings to stakeholders. These tasks support the team's efforts in research, policy-making, or environmental management by providing actionable insights and ensuring data-driven decision-making. Collaboration with scientists, data engineers, and policy analysts is common, offering interns exposure to interdisciplinary teamwork.

What are the key skills and qualifications needed to thrive as an environmental data science intern, and why are they important?

To thrive as an Environmental Data Science Intern, you need a strong background in environmental science, statistics, and data analysis, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and GIS software is often required. Attention to detail, problem-solving abilities, and effective communication skills help interns translate data into actionable insights and collaborate with multidisciplinary teams. These skills ensure that data-driven decisions can be made to address complex environmental challenges.

What is an environmental data science intern?

An Environmental Data Science Intern is a student or recent graduate who assists in analyzing environmental data to address issues such as climate change, pollution, or resource management. They use statistical methods, programming, and data visualization tools to process and interpret large datasets from sources like sensors, satellites, or field surveys. The role often involves working with environmental scientists to support research and inform decision-making. Interns gain hands-on experience in applying data science techniques to real-world environmental challenges, which can help prepare them for future careers in environmental science and analytics.

What are popular job titles related to Environmental Data Science Intern jobs in Minnesota?

For Environmental Data Science Intern jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Environmental Data Science Intern jobs in Minnesota look for?

The top searched job categories for Environmental Data Science Intern jobs in Minnesota are:

What cities in Minnesota are hiring for Environmental Data Science Intern jobs?

Cities in Minnesota with the most Environmental Data Science Intern job openings:

Environmental Data Science Intern jobs near you
Infographic showing various Environmental Data Science Intern job openings in Minnesota as of August 2026, with employment types broken down into 10% Internship, 74% Full Time, 10% Part Time, 3% Temporary, and 3% Contract. Highlights an 91% In-person, 3% Hybrid, and 6% Remote job distribution.

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Full-time

Re-posted yesterday

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Position Summary
The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile's internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership.

Accountabilities & Responsibilities
Exploratory analysis, hypothesis generation, feature engineering, model construction, and validation
Build and validate predictive models using appropriate machine learning and statistical methodologies
Translating validated models into forward-looking dashboards or automated scoring systems that are consumed with ease by stakeholders
Partner across the marketing organization to develop campaign lift attribution; building causal inference models isolating incremental referral lift from specific marketing programs
Develop predictive analytics supporting payer targeting and coverage expansion opportunities
Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support
Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making
Manage assigned projects to completion on time, within scope, and within budget.
Other duties as assigned.

Qualifications

Required:
Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations
4-7 years applied data science or machine learning experience, applied in commercial or operational environments
Experience creating predictive models for non-data-scientists to make real commercial or operational decisions
Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language
Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment
Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs
Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments

Preferred:
Master's or PhD in quantitative field
Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement
Survival analysis experience - has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction
Salesforce data architecture familiarity - understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data
Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards
Experience in a B2B2C or referral-based commercial model where the customer and the end user are different

What Tactile Medical employees say

Pay

Benefits

Hours and flexibility

Workplace

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