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Environmental Data Science Intern Jobs in Michigan

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

To implement quantitative and predictive models, data science experiments using literate ... environment without regard to race, color, religion, gender, gender identity, gender expression ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

To implement quantitative and predictive models, data science experiments using literate ... environment without regard to race, color, religion, gender, gender identity, gender expression ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven ... You've led small, scrappy teams to new levels of performance in a fast-paced, dynamic environment ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Your mission is to build and scale trusted data science products that power marketing performance ... Contribute to the maintenance of models in production environments, ensuring scalability and ...

Deloitte

AI and Data Science Engineer III

Detroit, MI

$113K - $136K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven ... You've led small, scrappy teams to new levels of performance in a fast-paced, dynamic environment ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Experience: 2-4+ years of experience in data science, ideally within a software development or SaaS environment. * Education: Bachelor's degree in a quantitative field. * Programming & Modeling:

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... data science problems and analytical tasks. • Develop, train, and evaluate statistical and ... environments, ensuring scalability, reliability, and performance monitoring. • Communicate ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Experience: 2-4+ years of experience in data science, ideally within a software development or SaaS environment. * Education: Bachelor's degree in a quantitative field. * Programming & Modeling:

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Experience working with large-scale datasets, databases, and distributed data processing environments. * Hands-on experience with cloud-based data science platforms, preferably Databricks and ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Experience working with large-scale datasets, databases, and distributed data processing environments. * Hands-on experience with cloud-based data science platforms, preferably Databricks and ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

The candidate will work in a very diverse, international and challenging environment, in close ... Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series) Basic ...

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site +1

$113K - $136K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

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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 do Environmental Data Science Interns 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 Michigan? For Environmental Data Science Intern jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science Intern jobs in Michigan look for? The top searched job categories for Environmental Data Science Intern jobs in Michigan are:
What cities in Michigan are hiring for Environmental Data Science Intern jobs? Cities in Michigan 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 Michigan as of June 2026, with employment types broken down into 24% Internship, 58% Full Time, 6% Part Time, and 12% Temporary. Highlights an 82% In-person, and 18% Hybrid job distribution.

Supply Chain Data Science Manager

Whirlpool

Benton Harbor, MI • On-site

Full-time

PTO

Posted 25 days ago

Whirlpool rating

7.4

Company rating: 7.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

80th of 139 rated electronics manufacturers

Job description

Requisition ID: 68538
About Whirlpool Corporation
Whirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant pursuit of improving life at home. As theonly major U.S.-based manufacturer of kitchen and laundry appliances, the company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2024, the company reported approximately $17 billion in annual sales - close to 90% of which were in the Americas - 44,000 employees, and 40 manufacturing and technology research centers. Additional information about the company can be found at WhirlpoolCorp.com.
The team you will be a part of
The Data Science team is responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating result.
This role in summary
Whirlpool is seeking a qualified candidate to fill a Data Science Manager position within the Supply Chain Analytics team. This role will be located at our Riverview Campus, in Benton Harbor, MI.
We are looking for a hands-on leader to drive our supply chain advanced analytics strategy and implementation. You will lead a small team to transform complex data into actionable insights, moving our supply chain from descriptive reporting to predictive modeling and optimization. You will champion the development of high-value predictive models for production planning, inventory management, demand planning, order management, warehousing, and logistics.
Your responsibilities will include
Strategy and People Leadership
  • Define the Roadmap: Define and execute the advanced analytics strategy, shifting the organization toward predictive and prescriptive solutions (e.g., safety stock optimization, forecasting, network design).
  • Team Development: Lead, mentor, and grow a team of Data Analysts, fostering a culture of technical excellence that drives tangible business impact.
  • Project Delivery: Manage the intake, prioritization, and execution of data science initiatives. Ensure resources are aligned with high-ROI projects and drive them from conception to deployment.

Technical Execution and Innovation
  • End-to-End Predictive Modeling: Develop and automate full-cycle predictive modeling workflows using Python, Alteryx, and GCP-extracting data from sources (SAP HANA, GCP) to solve supply chain challenges and integrating results into execution systems (SAP, Anaplan), data warehouses and BI dashboards (Tableau, Looker).
  • GenAI & Innovation: Lead the exploration of Large Language Models (LLMs) and Machine Learning (via Vertex AI) to automate business processes and generate novel insights.
  • Data Products & Visualization: Oversee the creation of automated reporting pipelines and intuitive dashboards (Tableau, Looker) that empower end-users to make data-driven decisions based on modeling outputs.

Minimum requirements
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
  • 5+ years of total experience in data analytics, data science, or data engineering.
  • 2+ years of experience leading people or managing complex technical projects.
  • Strong proficiency in SQL for complex data extraction and manipulation.
  • Strong proficiency in Python for statistical modeling and machine learning.

Preferred skills and experiences
  • Advanced Education: Master's degree in Engineering, Data Analytics, Statistics, or Computer Science.
  • Cloud & ERP Experience: Proficiency with GCP (BigQuery, Vertex AI) and SAP HANA.
  • Domain Expertise: 3+ years of experience in Supply Chain Operations (Production Planning, Inventory Optimization, Demand Planning, or Logistics).
  • Modern Data Stack: Proficiency with Alteryx and SAP HANA Studio for ETL, and experience utilizing LLMs (e.g., Gemini) for business automation.
  • Communication: Demonstrated ability to bridge the gap between technical data science and non-technical business stakeholders.
  • Soft Skills: Strong analytical, problem-solving, and communication skills across all levels of the organization.

Additional information
Whirlpool's Ways of Working
Our goal is to provide an environment that helps you bring your best to Whirlpool every day. While employees in this role work in-person Monday through Friday. We offer flexibility and industry-leading time-off benefits that will help you balance what's important at work and at home, including:
  • Always On Flexibility - You will have the autonomy to manage personal, family, and outside-of-work commitments as needed.
  • Two-Week Work from Anywhere - Minimum of one-week increments for a total of two weeks per year.
  • Sabbatical - Four weeks paid leave after every five years of service.

#LI-NL1
Connect with us and learn more about Whirlpool Corporation
See what it's like to work at Whirlpool by visiting Whirlpool Careers. Additional information about the company can be found on Facebook, Twitter, LinkedIn, Instagram and YouTube.
Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law.

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