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Remote Data Research Jobs in Michigan (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

You will create large scale data processing pipelines to help researchers build and train novel ... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ...

Comfort Research

Key Account Manager

Grand Rapids, MI · On-site +1

Description Comfort Research is seeking a Key Account Manager to manage and expand relationships ... Develop compelling, data-based business solutions for assigned accounts. * Maintain current account ...

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How much do remote data research jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote data research in Michigan is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $14.99 and $40.74 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Remote Data Research?

A typical day in Remote Data Research involves gathering and verifying large sets of data from various sources, cleaning and organizing data to ensure quality, and analyzing trends or anomalies based on project requirements. Professionals often prepare reports or visualizations to clearly communicate their findings to team members or stakeholders, and may participate in virtual meetings to discuss research goals and progress. Collaboration is usually done via email, chat, or video calls, and while the work is independent, it requires regular check-ins with supervisors or project leads. This role is ideal for those who are detail-oriented, self-driven, and comfortable managing their own workflow remotely.

What is a Remote Data Research job?

A Remote Data Research job involves gathering, analyzing, and interpreting data from various sources while working remotely. Responsibilities may include data collection, validation, and generating insights to support decision-making. Professionals in this role often use online databases, surveys, and other digital tools to extract relevant information. Strong analytical skills, attention to detail, and proficiency with data-related software are essential. This position is commonly found in industries like market research, finance, healthcare, and technology.

What are the key skills and qualifications needed to thrive in the Remote Data Research position, and why are they important?

To excel as a Remote Data Research professional, you need strong analytical skills, attention to detail, and experience with data collection and evaluation, often supported by a degree in statistics, information science, or a related field. Familiarity with data analysis tools such as Excel, SQL, or Python, and sometimes formal certifications in data analytics, are commonly expected. Exceptional time management, self-motivation, and effective written communication enhance success in this remote role. These abilities are critical for ensuring accurate research, meeting deadlines, and reporting findings clearly while working independently.

What are the most commonly searched types of Data Research jobs in Michigan? The most popular types of Data Research jobs in Michigan are:
What are popular job titles related to Remote Data Research jobs in Michigan? For Remote Data Research jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Research jobs in Michigan look for? The top searched job categories for Remote Data Research jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Research jobs? Cities in Michigan with the most Remote Data Research job openings:
Remote Data Research jobs near you
Infographic showing various Remote Data Research job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $63,097 per year, or $30.3 per hour.
Data Scientist - Materials R&D - Remote-Travel

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Posted 13 days ago

Intertape Polymer Group rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

75th of 119 rated packaging manufacturers

Job description

Join the IPG Team!
Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions-we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you!
This position can be based out of Marysville, MI, or work remotely with some travel as needed.
Title: Senior Data Scientist
Department: Research and Development
Immediate Supervisor: R&D Vice President
Status: Exempt Salaried
Position Purpose: The Senior Data Scientist willsupport R&D efforts in bio-polymers and sustainable materials and focusing on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance, and reduce development cycles.
Principle Accountabilities
  • Partner with polymer scientists, chemists, and engineers to support bio-polymer research and development using data-driven methods
  • Analyze and model experimental, formulation, and process data to identify structure-property-process relationships
  • Develop predictive models to support:
    • Material performance and property optimization
    • Formulation design and screening
    • Scale-up and process optimization
  • Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines
  • Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis
  • Apply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasets
  • Collaborate with data engineering and IT teams to enable scalable data infrastructure for R&D
  • Communicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholders
  • Understanding of data visualization best practices
  • Experience working with batch or streaming data processes a plus
  • Contribute to data dictionaries and process flow diagrams for complex data solutions
  • Mentor junior data scientists or technical staff and contribute to data science best practices within R&D
  • Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research

Essential Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field; Master's or PhD preferred
  • 10+ years of professional experience in data science, applied analytics, or scientific computing; experience working with materials science, polymer science or chemical R&D data, preferred
  • Strong proficiency in Python and/or R for data analysis and modeling
  • Solid experience with SQL and working with structured and semi-structured datasets
  • Strong foundation in statistics, experimental design, and multivariate analysis
  • Demonstrated experience applying machine learning to real-world, noisy scientific or experimental data
  • Ability to work effectively in a cross-functional R&D environment
  • Strong communication skills with the ability to translate complex analyses into actionable insights
  • Familiarity with bio-polymers, sustainable materials, or polymer processing, preferred
  • Experience with DOE software, laboratory data management systems (LIMS), or scientific databases, preferred
  • Experience deploying models to support R&D decision-making or manufacturing scale-up, preferred
  • Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools, preferred
  • Prior experience mentoring or leading technical projects, preferred

Why Choose IPG?
At IPG, you will find more than just a job-you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive.
Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people.
With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish!
We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG.
You belong here. Join us today!

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