Data Scientist – Materials R&D

IPG

Senior Data Scientist applying machine learning and statistical modeling to bio-polymers and sustainable materials R&D. Supporting predictive modeling, experimentation, and process optimization.

Posted 8/10/2026full-timeRemote • Missouri • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and machine learning applied to bio-polymers and sustainable materials, with a strong foundation in statistical modeling and experimental design. Capable of collaborating across R&D teams and effectively communicating complex insights to diverse stakeholders.

Highest-signal resume keywords

Data ScienceMachine LearningStatistical ModelingPythonExperimental Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMultivariate AnalysisPredictive ModelingRegressionClassificationClusteringTime-Series ModelingSQLDOEMaterials Science

Soft Skills

Strong Communication SkillsMentoringCollaboration

Tools & Technologies

AWSAzureLaboratory Data Management Systems (LIMS)Scientific Databases

Industry Keywords

Bio-PolymersSustainable MaterialsChemical R&DMaterials InformaticsApplied AI

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

Support R&D efforts in bio-polymers and sustainable materials using advanced data science, statistical modeling, and machine learning
Partner with polymer scientists, chemists, and engineers on bio-polymer research and development
Analyze and model experimental, formulation, and process data to identify structure–property–process relationships
Develop predictive models for material performance, formulation design, 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 including regression, classification, clustering, and time-series modeling to scientific datasets
Collaborate with data engineering and IT teams to enable scalable R&D data infrastructure
Communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders
Contribute to data dictionaries and process flow diagrams for complex data solutions
Mentor junior data scientists or technical staff and contribute to R&D data science best practices
Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research

Requirements

What you’ll need

Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field required; Master's or PhD preferred
10+ years of professional experience in data science, applied analytics, or scientific computing
Experience 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 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 and 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 for R&D decision-making or manufacturing scale-up preferred
Familiarity with cloud platforms such as AWS or Azure and data science lifecycle tools preferred
Prior experience mentoring or leading technical projects preferred

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account IPG Website LinkedIn All Job Openings 1001 - 5000 employees 🏭 Manufacturing 🤝 B2B 🛍️ eCommerce Manufacturing
B2B
eCommerce IPG is a manufacturer and supplier of adhesive tapes, packaging films, protective packaging products and automated packaging machinery. Its product portfolio includes carton-sealing tapes (acrylic, hot-melt, water-activated), industrial tapes (duct, foil, masking), packaging films (stretch, shrink, VCI), protective cushioning and mailers, and automated equipment such as case sealers, palletizers and tape heads. IPG serves business customers across e-commerce fulfillment, general manufacturing, building & construction, aerospace and other industrial sectors. Data Scientist – Materials R&D 🔥 22 minutes ago 🚗 Michigan – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 📊 Data Scientist Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Support R&D efforts in bio-polymers and sustainable materials using advanced data science, statistical modeling, and machine learning
Partner with polymer scientists, chemists, and engineers on bio-polymer research and development
Analyze and model experimental, formulation, and process data to identify structure–property–process relationships
Develop predictive models for material performance, formulation design, 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 including regression, classification, clustering, and time-series modeling to scientific datasets
Collaborate with data engineering and IT teams to enable scalable R&D data infrastructure
Communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders
Contribute to data dictionaries and process flow diagrams for complex data solutions
Mentor junior data scientists or technical staff and contribute to R&D data science best practices
Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research 🎯 Requirements
Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field required; Master's or PhD preferred
10+ years of professional experience in data science, applied analytics, or scientific computing
Experience 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 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 and 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 for R&D decision-making or manufacturing scale-up preferred
Familiarity with cloud platforms such as AWS or Azure and data science lifecycle tools preferred
Prior experience mentoring or leading technical projects preferred Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Principal Staff Engineer, AI Platform Research, Data Science 🕒 2 days ago CrowdStrike 5001 - 10000 🔒 Cybersecurity ☁️ SaaS 🤖 Artificial Intelligence Website LinkedIn All Job Openings Principal Staff Engineer building exabyte-scale AI data platforms for CrowdStrike, a global cybersecurity company. Leading LLM, agentic workflow, MLOps, and distributed systems engineering. 🇺🇸 United States – Remote 💵 $195k - $290k / year ⏰ Full Time 🔴 Lead 📊 Data Scientist 🦅 H1B Visa Sponsor Data Scientist – Agent Evaluations, Quality 🕒 2 days ago Clera 1 - 10 Website LinkedIn All Job Openings Data Scientist building evaluation systems for an autonomous AI executive assistant. Measuring agent quality through pipelines, datasets, graders, experiments, and production telemetry. 🇺🇸 United States – Remote 💰 $180k Grant on 2025-04 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Staff Data Scientist 🕒 2 days ago True Footage 201 - 500 🏠 Real Estate ☁️ SaaS Website LinkedIn All Job Openings Staff Data Scientist developing interpretable residential valuation models for True Footage’s Kelley Blue Book Home Valuations and TrueTracts platforms. Partnering with the CTO to ship production machine learning systems and shape Data Science standards. 🇺🇸 United States – Remote 💵 $225k - $250k / year ⏰ Full Time 🔴 Lead 📊 Data Scientist Principal Data Scientist 🕒 2 days ago TD 10,000+ employees 🏦 Banking 💸 Finance 🛡️ Insurance Website LinkedIn All Job Openings Principal Data Scientist optimizing decisioning and pricing engines for TD, a major North American bank. Building machine-learning solutions and guiding strategic auto-finance decisions. 🇺🇸 United States – Remote 💵 $148.7k - $223.1k / year 💰 Grant on 2023-10 ⏰ Full Time 🔴 Lead 📊 Data Scientist 🦅 H1B Visa Sponsor Senior Data Scientist – Generative AI 🕒 2 days ago Humana 10,000+ employees 🏥 Healthcare 🛡️ Insurance ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Senior Data Scientist building LLM applications and agentic workflows for Humana, a U.S. healthcare company. Turning conversational and long-form data into production-ready insights and operational improvements. 🇺🇸 United States – Remote 💵 $117.6k - $161.7k / year ⏰ Full Time 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs