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Contract Machine Learning Data Scientist Jobs in Michigan

Machine Learning Engineer

Auburn Hills, MI

$108K - $130K/yr

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO) . This role will leverage ...

Use statistical and machine learning techniques to build models that address business needs and ... Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn ...

Communicate data science outputs effectively and support the development of models and solutions ... Develop predictive, prescriptive, and machine learning models to identify trends, risks ...

New

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Role: Data Scientists Modeling Location: Dearborn, MI (Hybrid) Duration: Long term Rate: Market ... Develop, train, and evaluate statistical and machine learning models to address specific business ...

We're committed to AI-powered transformation, using advanced machine learning and automation to ... The Senior Data Scientist is responsible for Implementing the design, development, deployment, and ...

Contract * Job #105483 Prognostics Research Engineer Location: Dearborn, MI (Hybrid - 4 Days Onsite ... Machine Learning and Data Science * MATLAB and Simulink * Embedded Controls and Diagnostics

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Use Databricks for large-scale data processing and machine learning workflows Translate ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Use Databricks for large-scale data processing and machine learning workflows Translate ...

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead ...

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead ...

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science ...

Showing results 41-60

Contract Machine Learning Data Scientist information

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

What are the key skills and qualifications needed to thrive as a contract machine learning data scientist?

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

What is the difference between Contract Machine Learning Data Scientist vs Contract Data Scientist?

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What is a contract machine learning data scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.
What are popular job titles related to Contract Machine Learning Data Scientist jobs in Michigan? For Contract Machine Learning Data Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Data Scientist jobs in Michigan look for? The top searched job categories for Contract Machine Learning Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Contract Machine Learning Data Scientist jobs? Cities in Michigan with the most Contract Machine Learning Data Scientist job openings:

Data Scientist - Materials R&D - Remote-Travel

Intertape Polymer Group (IPG)

Marysville, MI • On-site, Remote

Full-time

Re-posted 24 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

73rd 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 will support 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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