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Research Scientist Optimization Jobs in Ohio (NOW HIRING)

Jobtailor

Research Scientist

Columbus, OH · On-site

$140 - $210/hr

... and process optimization. * Translate research findings into practical recommendations for ... D. in Polymer Science, Polymer Chemistry, Materials Science, Chemical Engineering, Wood Science ...

New

Ohio State University

Research Scientist

Columbus, OH · On-site

EHE | Human Sciences Administration The Research Scientist position is under the supervision of ... optimization in the context of traumatic brain jury and/or Alzheimer's disease. The researcher will ...

Hexion

pMDI Research Scientist

Columbus, OH · On-site

$85 - $115/hr

... and process optimization. * Translate research findings into practical recommendations for ... Monitor scientific, patent, regulatory, and competitive developments in pMDI, wood adhesives ...

Hexion, Inc.

pMDI Research Scientist

Columbus, OH · On-site

... optimization. * Translate research findings into practical recommendations for scale-up, plant ... Monitor scientific, patent, regulatory, and competitive developments in pMDI, wood adhesives, AI ...

Hexion, Inc.

pMDI Research Scientist

Columbus, OH · On-site

... optimization. * Translate research findings into practical recommendations for scale-up, plant ... Monitor scientific, patent, regulatory, and competitive developments in pMDI, wood adhesives, AI ...

Hexion Careers

pMDI Research Scientist

Columbus, OH

... optimization. * Translate research findings into practical recommendations for scale-up, plant ... Monitor scientific, patent, regulatory, and competitive developments in pMDI, wood adhesives, AI ...

Digitalhealthnews

$94.82 - $118.53/hr

Research Scientist Artificial Intelligence Location: Forchheim, Germany Job Type: Full-Time ... optimization of clinical workflows * Concept creation, design and prototype development of ...

New

Inworld AI

$136.55 - $204.82/hr

Try the live demo Read the TTS-2 launch See the cost reductions Senior / Lead Research Scientist ... Our work spans areas like research and development of state-of-the-art models, optimizing realtime ...

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Research Scientist Optimization information

What does a research scientist in optimization do?

A Research Scientist in Optimization specializes in developing and applying mathematical techniques to improve processes, systems, or algorithms. Their work often involves formulating optimization problems, designing solutions, and collaborating with engineers or data scientists to implement and test their models. These scientists may work in various industries, such as technology, logistics, finance, or manufacturing, to help organizations make better decisions, save resources, or improve performance. Their daily tasks include conducting experiments, analyzing large datasets, and publishing findings in scientific journals.

What are the key skills and qualifications needed to thrive as a research scientist in optimization?

To excel as a Research Scientist in Optimization, you need a strong background in mathematics, computer science, and optimization theory, often supported by a PhD in a related field. Familiarity with programming languages like Python or MATLAB, optimization libraries (e.g., Gurobi, CPLEX), and experience with data analysis tools are typically required. Critical thinking, creativity, and strong communication skills help in formulating novel approaches and presenting complex findings clearly. These skills drive the development of efficient algorithms and solutions, advancing research impact and innovation in the field.

What types of projects and collaborations can a research scientist in optimization expect to be involved in?

As a Research Scientist specializing in Optimization, you can expect to work on projects that involve developing and improving algorithms to solve complex real-world problems in areas such as logistics, supply chain, or machine learning. Collaboration is common, often involving cross-functional teams with data scientists, software engineers, and domain experts to implement and test optimization solutions. You may also contribute to academic publications, attend conferences, and sometimes mentor junior researchers, all while staying current with the latest advancements in optimization techniques.

What is the difference between Research Scientist Optimization vs Data Scientist?

AspectResearch Scientist OptimizationData Scientist
Required CredentialsMaster's or PhD in Operations Research, Mathematics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness analytics, tech companies, consulting firms
Industry UsageOptimization problems, algorithm development, mathematical modelingData analysis, predictive modeling, data visualization

Research Scientist Optimization focuses on developing mathematical models and algorithms to solve complex optimization problems, often in research or academic settings. Data Scientists analyze large datasets to extract insights and build predictive models for business decisions. While both roles require strong analytical skills, Research Scientist Optimization emphasizes mathematical and algorithmic development, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Research Scientist Optimization jobs in Ohio?

For Research Scientist Optimization jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Research Scientist Optimization jobs in Ohio look for?

The top searched job categories for Research Scientist Optimization jobs in Ohio are:

What cities in Ohio are hiring for Research Scientist Optimization jobs?

Cities in Ohio with the most Research Scientist Optimization job openings:

Research Scientist Optimization jobs near you

Research Scientist

Jobtailor

Columbus, OH • On-site

$140 - $210/hr

Other

Posted 2 days ago

New

Job description

Responsibilities
  • Lead laboratory research on pMDI resin systems, including neat resin, aqueous suspensions, emulsions, and related binder technologies for wood composite applications such as OSB, MDF, particleboard, and adjacent materials.
  • Design and execute experiments that link formulation, processing, and substrate variables to adhesive performance, including moisture, press time, resin loading, viscosity, emulsion stability, penetration behavior, and wood‑furnish characteristics.
  • Integrate artificial intelligence, machine learning, and advanced analytics with laboratory research to generate predictive models that optimize bond performance, process efficiency, raw‑material usage, and total cost in wood‑mill operations.
  • Develop structure‑property‑process understanding for pMDI systems using analytical, thermal, rheological, microscopy, and mechanical testing methods.
  • Interpret laboratory and pilot data to define performance windows, identify root causes, and uncover opportunities for product and process optimization.
  • Translate research findings into practical recommendations for scale‑up, plant trials, manufacturing implementation, and customer‑facing technical support.
  • Partner cross‑functionally with R&D, process engineering, manufacturing, commercial teams, and external stakeholders to align innovation priorities with business strategy and mill‑performance goals.
Requirements
  • Ph.D. in Polymer Science, Polymer Chemistry, Materials Science, Chemical Engineering, Wood Science, Data‑Enabled Materials Research, or a closely related technical discipline; or M.S. with significant directly relevant industrial research experience.
  • 10+ years of experience in polymer, adhesive, isocyanate, polyurethane, or related reactive resin research and development.
  • Demonstrated expertise in structure‑property relationships, formulation science, laboratory experimentation, and translating data into practical product and process insight.
  • Experience applying statistical analysis, design of experiments, modeling, and/or artificial intelligence tools to research, development, or manufacturing optimization problems.
  • Hands‑on experience with material characterization and performance testing relevant to reactive resin systems.
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