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IPG

Data Scientist - Materials R&D - Remote-Travel

... informatics, polymer modeling, and applied AI in scientific research Qualifications : Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical ...

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... informatics, data analytics, health information systems, and related areas. This part-time, remote ... Required Materials : Applicants must submit the following documents for full consideration. Please ...

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IT Manager

Toledo, OH · Remote

$90K - $130K/hr

A healthcare organization is seeking an experienced IT Manager to lead a remote team focused on ... materials, support procedures, and knowledge base resources Monitor team performance, manage ...

Sapio Sciences

... sample and materials management, data management, and scientific data analysis and reporting ... We understand that lab informatics is about more than managing data or connecting workflows. It ...

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As of Jun 21, 2026, the average yearly pay for remote materials informatics in the United States is $98,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $122,500.00 per year, depending on experience, location, and employer.
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Remote Materials Informatics jobs near you
Infographic showing various Remote Materials Informatics job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 20% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $98,409 per year, or $47.3 per hour.
Data Scientist - Materials R&D - Remote-Travel

Data Scientist - Materials R&D - Remote-Travel

IPG

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Interpublic Group rating

7.8

Company rating: 7.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

14th of 42 rated marketing agency

Job description

Job Summary:
IPG is a global leader in packaging and protective solutions, committed to innovation and sustainability. They are seeking a Senior Data Scientist to support R&D in bio-polymers and sustainable materials by applying advanced data science and machine learning to enhance material performance and accelerate innovation.
Responsibilities:
• 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
Qualifications:
Required:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field
• 10+ years of professional experience in data science, applied analytics, or scientific computing
• 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
Preferred:
• Master’s or PhD
• Experience working with materials science, polymer science or chemical R&D data
• Familiarity with bio‑polymers, sustainable materials, or polymer processing
• Experience with DOE software, laboratory data management systems (LIMS), or scientific databases
• Experience deploying models to support R&D decision-making or manufacturing scale-up
• Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools
• Prior experience mentoring or leading technical projects
Company:
Headquartered in Sarasota, Florida, IPG is a global provider of packaging and protective solutions across a diversified set of geographies and end-markets. Founded in 1987, the company is headquartered in Fairless Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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