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 ...
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 ...
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 ...
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 ...
Parent Partner
Port Huron, MI · On-site +1
$15 - $18/hr
Medical
Dental
Vision
Life
Retirement
PTO
... learning opportunity for other parents, community partners, and referring workers. The parent ... Flexible scheduling * Direct Supervision * Remote work for some job tasks (paperwork, trainings ...
Parent Partner
Port Huron, MI · On-site +1
$15 - $18/hr
Medical
Dental
Vision
Life
Retirement
PTO
... learning opportunity for other parents, community partners, and referring workers. The parent ... Flexible scheduling * Direct Supervision * Remote work for some job tasks (paperwork, trainings ...
Senior Continuous Improvement Specialist - ZLA
Imlay City, MI · Remote
$82K - $120K/yr
Retirement
PTO
Bachelor's degree in Engineering, Manufacturing, or a related field. * 5+ years of experience in ... learning and tuition reimbursement * Balance: Paid-time off, parental leave, flexible work ...
Senior Continuous Improvement Specialist - ZLA
Imlay City, MI · Remote
$82K - $120K/yr
Retirement
PTO
Bachelor's degree in Engineering, Manufacturing, or a related field. * 5+ years of experience in ... learning and tuition reimbursement * Balance: Paid-time off, parental leave, flexible work ...
Flexible Remote Machine Learning Engineer information
See Jeddo, MI salary details
$27K - $39.6K
1% of jobs
$39.6K - $52.2K
1% of jobs
$52.2K - $64.8K
5% of jobs
$64.8K - $77.4K
6% of jobs
$87.8K is the 25th percentile. Wages below this are outliers.
$77.4K - $90K
14% of jobs
$90K - $102.6K
14% of jobs
The median wage is $108.9K / yr.
$102.6K - $115.2K
18% of jobs
$115.2K - $127.8K
14% of jobs
$130.4K is the 75th percentile. Wages above this are outliers.
$127.8K - $140.4K
12% of jobs
$140.4K - $153K
11% of jobs
$153K - $165.6K
5% of jobs
$27K
$110.2K
$165.6K
How much do flexible remote machine learning engineer jobs pay per year?
As of Aug 18, 2026, the average yearly pay for flexible remote machine learning engineer in Jeddo, MI is $110,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,900.00 and $132,600.00 per year, depending on experience, location, and employer.
What is a flexible remote machine learning engineer?
A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.
What are the key skills and qualifications needed to thrive as a flexible remote machine learning engineer?
To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.
How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?
In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.
What is the difference between Flexible Remote Machine Learning Engineer vs Data Scientist?
| Aspect | Flexible Remote Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or higher in CS, ML, or related fields; experience with ML frameworks | Bachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis |
| Work Environment | Remote, collaborative teams, project-based | Remote or on-site, data analysis-focused |
| Industry Usage | Tech, finance, healthcare, e-commerce | Tech, marketing, finance, research |
| Common Search Intent | Roles involving ML model development and deployment | Roles focused on data analysis and insights |
The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.
Data Scientist - Materials R&D - Remote-Travel
Marysville, MI • On-site, Remote
Full-time
Re-posted 6 days ago
Intertape Polymer Group rating
6.9
Based on 12 frontline employees who took The Breakroom Quiz
74th of 120 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
Essential Skills and Experience
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!
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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