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Ai Math Jobs in Delaware (NOW HIRING)

Equiliem

Fitter

Wilmington, DE · On-site

Proficient in mathematical calculations related to fabrication Responsibilities * The primary ... AI-generated text messages, standard text messages, and/or emails to share job opportunities.

CBRE

Building Engineer

Newark, DE · On-site

Sophisticated math skills. Ability to calculate mildly complex figures such as percentages ... AI Use Disclosure We value human interaction to understand each candidate's unique experience ...

Troutman Pepper

Senior Pricing Analyst

Wilmington, DE · Hybrid

Utilize AI-powered visualization and reporting tools to translate complex analyses into clear ... Advanced knowledge of mathematical and statistical concepts and ability to apply this knowledge to ...

New

CBRE

Building Engineer

Newark, DE · On-site

Sophisticated math skills. Ability to calculate mildly complex figures such as percentages ... AI Use Disclosure We value human interaction to understand each candidate's unique experience ...

CBRE

Senior Property Manager

Wilmington, DE · On-site

Ability to calculate mathematical figures such as percentages, discounts, and commissions. Conducts ... Applicant AI Use Disclosure We value human interaction to understand each candidate's unique ...

Hologic Inc.

Systems Engineer

Newark, DE · On-site

$78K - $122.10K/yr

Familiarity with physical and mathematical modeling tools. * Knowledge of medical device ... Responses influenced by AI may result in disqualification. We appreciate your understanding and ...

JPMorgan Chase & Co.

Data Scientist Lead

Wilmington, DE · On-site

$142.50K - $210K/yr

... Mathematics, Statistics, Engineering, Operations Research, Physics), data bootcamp certification ... SQL, AWS, Python), current AI tools (ex: Copilot, Claude), and familiarity with quantitative ...

JP Morgan Chase

Data Scientist Lead

Wilmington, DE

... Mathematics, Statistics, Engineering, Operations Research, Physics), data bootcamp certification ... SQL, AWS, Python), current AI tools (ex: Copilot, Claude), and familiarity with quantitative ...

JPMorgan Chase & Co

Data Scientist Lead

Wilmington, DE · On-site

... Mathematics, Statistics, Engineering, Operations Research, Physics), data bootcamp certification ... SQL, AWS, Python), current AI tools (ex: Copilot, Claude), and familiarity with quantitative ...

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Ai Math information

What are the key skills and qualifications needed to thrive as an AI Math Specialist, and why are they important?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Ai Math jobs in Delaware? For Ai Math jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Ai Math jobs in Delaware look for? The top searched job categories for Ai Math jobs in Delaware are:
What cities in Delaware are hiring for Ai Math jobs? Cities in Delaware with the most Ai Math job openings:
Ai Math jobs near you
Infographic showing various Ai Math job openings in Delaware as of May 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Digital Innovation Engineer

Celanese International Corporation

Wilmington, DE • Hybrid

Full-time

Posted 10 days ago

Job description

Celanese Engineered Materials is seeking an Engineer, Digital Innovation – Predictive Modeling & Advanced Experimentation role. This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in new product and material development.

This role is an opportunity to play a key role in advancing predictive modeling and advanced experimental strategy to accelerate the design and development of nextgeneration materials. Applying rigorous quantitative methods to enable informed decisionmaking early in technology and product development.

The role operates at the intersection of modeling, statistics, and machine learning, with a strong emphasis on translating these capabilities into practical approaches that support technology and innovation programs. This position also builds and deploys digital methods to guide experimentation, prediction, and optimization that support computer aided engineering and new product development efforts.

**Location can be hybrid in one of the following locations: 

  • Wilmington, DE
  • Florence, KY
  • Auburn Hills, MI
  • Irving, TX

Predictive Modeling for Material Property Design

  • Develop and apply predictive and hybrid machine learning approaches for the prediction of properties key to designing the next generation of materials.
  • Integrate mechanistic understanding, statistical modeling, and datadriven methods to generate reliable, decisionready predictions.
  • Quantify model confidence and limitations to support riskaware technical decisions.
  • Translate complex modeling outputs into clear, actionable insights for technology and innovation stakeholders.

Experimental Design & Bayesian Optimization for New Product Development

  • Design and apply advanced experimental design strategies and Bayesian optimization for new product development.
  • Efficiently explore highdimensional design spaces to prioritize experiments and identify optimal candidates for laboratory evaluation.
  • Apply adaptive and sequential learning approaches to balance exploration and exploitation under limited data conditions.

  • Master's Degree or higher, or with equivalent experience in computer science, computer engineering, machine learning, physics, applied mathematics or related field
  • Understanding of advanced materials, chemical processes, and laboratory data is a plus.
  • 1+ years' work experience with modeling development, data analysis, business communication, and digital transformation is highly desirable.
  • Proficiency in AI + physics-based machine learning.
  • Working understanding of material science fundamentals
  • Strong foundation in applied statistics, experimental design, and probabilistic modeling.
  • Expertise in predictive modeling and simulation for material or system property prediction.
  • Experience with uncertainty quantification, model validation, and decision support under uncertainty.
  • Ability to translate advanced quantitative methods into practical workflows including proof-of-concept full-stack (backend + frontend) applications that inform technology and product decisions.
  • Working across the full lifecycle: problem formulation → model and strategy development → application and adoption.
  • Communicating complex modeling and experimental concepts clearly to diverse technical audiences.
  • Influencing technology and innovation decisions through quantitative, modeldriven insight.
  • Operating effectively in crossfunctional environments spanning product development, technology, innovation, and digital teams.

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