Data Scientist – Materials R&D

IPG

Senior Data Scientist supporting R&D in bio-polymers and sustainable materials using data science. Analyzing data to accelerate innovation, improve material performance, and reduce development cycles.

Posted 7/28/2026full-timeRemote • Missouri • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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

Expertise in data-driven methods for bio-polymers and sustainable materials, with strong proficiency in Python and R for data analysis, machine learning application, and experimental design. Proven ability to communicate complex insights and mentor technical staff within a collaborative R&D environment.

Highest-signal resume keywords

Data ScienceMachine LearningPython ProgrammingStatistical AnalysisExperimental Design

ATS Keywords

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Hard Skills

Data AnalysisPredictive ModelingMultivariate AnalysisRegression TechniquesClassification TechniquesClustering TechniquesTime-Series ModelingData Workflow DevelopmentDOE (Design of Experiments)SQL

Soft Skills

Strong CommunicationMentoringCollaboration

Tools & Technologies

Laboratory Data Management Systems (LIMS)Cloud Platforms (AWS, Azure)Data Science Lifecycle Tools

Industry Keywords

Bio-PolymersSustainable MaterialsPolymer ScienceChemical R&DMaterials Informatics

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

Support R&D efforts in bio-polymers and sustainable materials 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, and 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
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

Requirements

What you’ll need

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

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 🏗️ Construction 🛍️ eCommerce Manufacturing
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eCommerce IPG is a manufacturer and supplier of adhesive tapes, packaging materials, protective packaging products and automated packaging machinery. The company’s offerings span industrial tapes (duct, foil, flatback, filament, polyethylene), water-activated and carton-sealing tapes, packaging films (stretch, shrink, VCI), protective cushioning and mailers, geomembrane and building-envelope products, and automated case sealers, tape heads and palletizing equipment. IPG serves industrial, construction, e-commerce and manufacturing customers with both consumer and B2B product lines and emphasizes sustainable packaging options. Data Scientist – Materials R&D 🔥 0 minutes ago 🚗 Michigan – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Support R&D efforts in bio-polymers and sustainable materials 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, and 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
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 🎯 Requirements
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 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 Deployment Manager – Global Data Center Build and Deploy 🔥 35 minutes ago Cerebras 501 - 1000 🔧 Hardware 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 📊 Data Scientist Director, Data Science 🔥 39 minutes ago ScienceLogic 501 - 1000 🤖 Artificial Intelligence ☁️ SaaS 🤝 B2B Website LinkedIn All Job Openings Director of Data Science at ScienceLogic leading AI strategy and overseeing a high-performing data science team. Architecting complex machine learning systems and ensuring alignment with business outcomes. 🇺🇸 United States – Remote 💵 $215k - $250k / year 💰 $21.2M Venture Round - ScienceLogic on 2022-10 ⏰ Full Time 🔴 Lead 📊 Data Scientist OT Data & Integration Lead 🔥 40 minutes ago Dayforce 5001 - 10000 👥 HR Tech ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings OT Data Integration Lead overseeing secure data flow from plant systems into AdvanSix's Unified Data Platform. Collaborating with teams to ensure reliable and compliant data integration across IT and OT. 🇺🇸 United States – Remote 💵 $118.8k - $178.2k / year 💰 $1G Post-IPO Debt - Dayforce on 2024-03 ⏰ Full Time 🟠 Senior 📊 Data Scientist Microbiome Data Scientist 🔥 46 minutes ago Tiny Health 11 - 50 🏥 Healthcare 🛍️ eCommerce 👥 B2C Website LinkedIn All Job Openings Microbiome Data Scientist at Tiny Health analyzing microbiome data and developing metrics. Collaborating with experts and contributing to scientific publications in a remote-first environment. 🇺🇸 United States – Remote 💰 $8.5M Series A - Tiny Health on 2024-03 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Data Scientist 🔥 57 minutes ago Gradera 11 - 50 🤖 Artificial Intelligence 🏢 Enterprise 💼 Consulting Website LinkedIn All Job Openings Data Scientist transforming complex real-world data into insights and machine learning solutions at Gradera. Collaborating with teams for data lifecycle and impactful decision-making. 🇺🇸 United States – Remote 💵 $100k - $145k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist 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 Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course 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